## Request recorded in the Method

Turn one prepared day folder into a complete, cited daily briefing. Follow the approved example for writing and layout, and save the briefing with its website.

format: method/3.2
name: Write a daily briefing
goal: Turn one prepared day folder into a complete, cited daily briefing. Follow the approved example for writing and layout, and save the briefing with its website.
inputs:
  day:
    type: text
    description: Date of the prepared records, in YYYY-MM-DD form.
  timezone:
    type: text
    description: Timezone for those records, such as America/Chicago.
environment:
  prepared_day:
    type: files
    description: Folder of prepared records for that day. Read-only.
steps:
  open_inputs:
    name: Check the input folders
    in:
      day: inputs.day
      timezone: inputs.timezone
      prepared_day: environment.prepared_day
    do:
      kind: run
      runtime: python
      entrypoint: briefing_check_inputs.py
    out:
      selected_day:
        type: record
        description: Prepared records, date, timezone, and source hash.
        fields:
          folder:
            type: text
            description: Absolute path to the prepared records.
          day:
            type: text
            description: Selected date in YYYY-MM-DD form.
          timezone:
            type: text
            description: Named timezone used to interpret this day.
          start:
            type: text
            description: README path relative to the prepared folder.
          source_digest:
            type: text
            description: Hash of the prepared files at the start of this run.
      example:
        type: record
        description: The approved example and its complete text.
        fields:
          report:
            type: text
            description: Complete approved report.
      session_links:
        type: text
        description: Links to saved social sessions for this day. A link on its own line displays that session in the story.
    purpose: Checks the required record files, date, and timezone. Returns the prepared folder and its source hash, the complete approved report, and saved session links.
  write_briefing:
    name: Write the briefing
    in:
      selected_day: selected_day
      example: example
      session_links: session_links
    do:
      kind: agent
      model: writer
      prompt: |
        Write the story of {{selected_day.day}} from the records in {{selected_day.folder}}.
        Follow the complete approved report in example.report for writing and detail.
        Return Markdown with source links: [label](source:record-id) or [label](source:record-id#L10-L20).
        Use calculate_activity_times for supported time estimates.
      tools:
        - calculate_activity_times
    out:
      draft:
        type: text
        description: The complete Markdown briefing.
      supporting_files:
        type: list
        items:
          type: file
        description: File references returned by the calculator, or an empty list when none were made.
    check:
      kind: run
      runtime: python
      entrypoint: briefing_validation.py
    reading:
      check_name: Check source links
      check: Checks source IDs, citation line ranges, and supporting file hashes, names, dates, and timezones. Returns pass when those references are valid.
  render_and_save:
    name: Render and save the briefing
    in:
      selected_day: selected_day
      draft: draft
      supporting_files: supporting_files
    do:
      kind: run
      runtime: python
      entrypoint: briefing_render.py
    out:
      saved_briefing:
        type: file
        description: Saved briefing receipt with its date, timezone, and file paths.
      published_website:
        type: file
        description: Briefing website with source pages and supporting files.
        format: method-website
    purpose: Builds the briefing website and checks its local links and source hash. Saves the website and supporting files under their content hash, reuses an identical saved output, and returns the receipt and website manifest.
result:
  briefing: saved_briefing
  website: published_website
run_prompt: Run Write a daily briefing for the requested prepared day folder. Read the date and timezone from its records. When finished, open the briefing website and give me the run link.
files:
  - briefing_files.py
  - briefing_times.py
  - briefing_sessions.py
  - briefing_check_inputs.py
  - briefing_artifacts.py
  - briefing_manifest.py
  - briefing_progress.py
  - briefing_validation.py
  - briefing_render.py
  - briefing_website.py
  - briefing_markdown.py
  - reader/reader.css
  - reader/reader.js
  - runtime.json
  - package.json
  - package-lock.json
  - pyproject.toml
  - uv.lock
  - vendor/marked.mjs
  - approved-report.md

---
date: 2026-05-11
timezone: America/Chicago
title: May 11 — proposed briefing
---

# Monday, May 11

_A day in Chicago_

## TL;DR



**You worked on Alpha Research and a French 79 synth recreation, then visited friends.** You had Codex move research jobs to Modal, simplify the prompts, and fix the interface. It reported completing the move, but you still wanted better reports. The music run’s apparent success came from replaying the target recording; a later attempt remained below your goal. [Sources](source:codex-0246,codex-0583,codex-1152,codex-1470,google_timeline-0009)



Between these tasks, you browsed X and Instagram and compared synths in ChatGPT. Your notes asked why you keep polishing work instead of shipping it. You reached your friend's home around 6:45 and returned home around 11:15, ahead of your flight to New York the next day. [Sources](source:browser-0012,instagram-0028,chatgpt-0039,apple_notes-0002,google_timeline-0009,google_timeline-0011,gmail-0004)



**Time estimates:** about 6 h in work sessions (including music), 3 h on X, 50 min on Instagram, 4 h 10 min visiting friends, 1 h 20 min traveling, and 35 min of Spotify playback. These periods overlap. [Sources](source:time-estimates)

## After midnight



At 12:01 AM, you asked Codex to fix Alpha Research’s tool-call error. You also pointed out that an HTML result was too wide and caused horizontal scrolling. After Codex reported a fix for the tool error, you sent the same error again. [Sources](source:codex-0001,codex-0011,codex-0015,codex-0023,codex-0025)



At 12:29, an apartment alert arrived for a listing in Manhattan. [Sources](source:gmail-0033)

## Morning



At 8:18, The RealReal emailed that it had shipped your Giorgio Armani virgin-wool blazer. [Sources](source:calendar-0001,gmail-0026)



At 8:45, you were on X. LindyMan’s case for Chicago was “It's not a very crowded city.” M_R_Runner warned that “Cheap rent and open seats look like lifestyle wins” while asking why the seats had opened up. Around 9:00, you searched for Manhattan household counts, including the count in 1920. [Sources](source:browser-0012,browser-0014,browser-0058,browser-0064)

[Saved social session](sessions.html#social-3d0e17078813)

[Saved social session](sessions.html#social-47a9d16f6bb1)



At 9:41, an Instagram post in your viewing history read, “Visiting every branch of @chicagopubliclibrary! I did not expect this many fish when I walked in the Sulzer Regional Branch..” [Sources](source:instagram-0028)

[Saved social session](sessions.html#social-76dd57595bb2)



The May 10 daily work briefing was saved in a commit under your name at 10:01. You then searched for Schwab’s American Express card and opened its page. [Sources](source:git-0001,browser-0190,browser-0191)

[Saved social session](sessions.html#social-53e7ac5635b7)



At 10:11, you returned to the tool-call failure: “Wym catches and hardcodes bruh what kind of a fix is that ???? Why wouldnt you fix the root cause ? What is the root cause ??” You opened the May 10 work briefing at 10:13. Codex reported changing when it saved the response state. You also objected to the research assistant asking you for details about data it already had. Before it changed the instructions, you said, “before you make any prompting changes , show me exactly what you are going to change to what.” You asked it to include the dataset briefing in the prompt; Codex reported deploying that change. [Sources](source:codex-0030,browser-0202,codex-0046,codex-0034,codex-0050,codex-0065)

[Saved social session](sessions.html#social-77c87d6d2059)



At 10:24, you opened a Domestika link from Instagram. Around 10:30, you opened the Sierra Club’s ProPublica page, Census data, and a New York Census Reporter profile. In the dataset-maintenance thread, you rejected descriptions that only said “ZIP contents”. You wanted the files inspected: “We should unzip it and delete the archive.” The retry had recovered the economics briefing and updated the profile, according to Codex, although an export step had failed. [Sources](source:instagram-0070,browser-0213,browser-0214,browser-0216,codex-0071,codex-0072,codex-0079)



At 10:34, another apartment alert arrived for a listing in Manhattan. [Sources](source:gmail-0017)



At 10:35, a friend asked, “You guys want to come over later to grill  and watch cubs” [Sources](source:imessage-0001) While that invitation sat in the group chat, you asked for Alpha Research’s dashboard to look more like Alpha Book. You wanted a tighter left sidebar, a clear new-chat action, and a separate output panel. Your browser also moved through Mobbin and Stripe’s payment components. [Sources](source:codex-0084,codex-0093,browser-0227,browser-0235)



At 10:45, you asked ChatGPT how to “spin up arbitrary computers running claude code / codex cli with read only access to those files”. You wanted the workers to share roughly one terabyte of research data. You compared Runloop and Modal, along with ways to make the files available to each worker. [Sources](source:chatgpt-0001,chatgpt-0004,chatgpt-0006,chatgpt-0008,chatgpt-0010,chatgpt-0016,chatgpt-0018,chatgpt-0020,chatgpt-0022) The May 4 weekly review was saved under your name at 10:50. [Sources](source:git-0002)

## Late morning

[Saved social session](sessions.html#social-00971d603fa2)



At 11:02, a Tudor Revival renovation caption read, “Carpet. Heavy drapery. Wallpaper everywhere. Every surface trying to be the moment.” A minute later, another post offered “vintage shopping in Chicago!! @moderndrama20 - 40,000 sq ft mid-century modern warehouse”. [Sources](source:instagram-0093,instagram-0103)



At 11:13, you answered the invitation: “Down”. Two minutes later, United sent check-in messages for your flight from Chicago. [Sources](source:imessage-0002,imessage-0003,imessage-0004)



At 11:18, you asked Codex to plan the move from DigitalOcean to Modal, with shared data that workers could read but not change and separate space for each worker’s results. You authorized the work. [Sources](source:codex-0107,codex-0116)

[Saved social session](sessions.html#social-842fe3d7cd62)



At 11:30, you also asked ChatGPT whether a worker could create and publish a Jupyter notebook, adding, “although i guess you wouldnt see the research as it happens.” [Sources](source:chatgpt-0026)



By 11:33, you had signed in to Modal. [Sources](source:codex-0136)

[Saved social session](sessions.html#social-fd930fc0da88)



From about 11:36, you browsed Modal examples, LangChain, LangGraph, Deep Agents, LangSmith, and DSPy. At 11:42, you checked the migration: “Does it work ? Have you tested it ? Is it integrated into the dashboard / backend of the CLI ?” Codex had tested a worker, but had not yet moved the dataset or proved the complete research path. Your reply was “Ok finish everything then.” [Sources](source:browser-0410,browser-0415,browser-0424,browser-0425,browser-0429,browser-0433,codex-0155,codex-0156,codex-0157)



At 11:51, you opened Mole’s Mac-cleaner site and checkout. You opened the May 4 work review a few minutes later. By 11:56, you were back on the dashboard design: the welcome image, sidebar borders, padding, and text still did not match what you wanted. [Sources](source:browser-0499,browser-0502,browser-0536,codex-0175,codex-0185)

## Noon to 2:00 PM

[Saved social session](sessions.html#social-1615d14767de)



At 12:05 PM, Codex reported a successful check against the migrated economics data. You then asked whether it had removed the old DigitalOcean setup. It had not. “Nope. Delete the old digital ocean stuff. I want a full replacement and to remove all mentions of the old path.” At the same time, you caught the welcome image and recent chats loading repeatedly. You asked Codex to clean up the components: “Dont add more states. Clean up the code so its logically sound.” [Sources](source:codex-0194,codex-0197,codex-0198,codex-0200,codex-0195,codex-0208,codex-0212)

[Saved social session](sessions.html#social-648f73983bf6)



By 12:24, Codex reported removing the old DigitalOcean code, compute, volumes, and secrets, and deploying the Modal replacement. A research run then returned something that looked like a plan rather than the work you expected. You asked for the exact runner prompt, a work log in `work.md`, and a finished `report.html`. [Sources](source:codex-0246,codex-0247,codex-0252,codex-0254,codex-0259)

[Saved social session](sessions.html#social-cac62bb5b5c4)

[Saved social session](sessions.html#social-12418be71ee4)



At 12:37, you asked for dataset maintenance to use Modal too, with only the economics dataset retained. Codex later reported making that change. From 12:39, you also began setting up a goal run to recreate the first five seconds of French 79’s “Between the Buttons.” The agent was to keep the written notes fixed and change the synthesizer sound and effects until it exceeded this experiment’s score target of 0.8. Back in Alpha Research, you called for a simpler prompt: “MAKE A SINGLE, SIMPLE PROMPT THAT INSTRUCTS IT TO ITERATE AND UPDATE WORK.MD TO TRACK ITSELF AND STOP WHEN IT WRITES A REPORT.HTML WITH EVERYTHING” [Sources](source:codex-0264,codex-0284,codex-0322,codex-0271,codex-0291,codex-0288)



At 12:47, you received a dog photo captioned “Milo with no hair”. The group then spotted a problem with the evening plan: “There’s no game today methinks”. They moved the gathering toward 6:30, with Catan as another option. [Sources](source:imessage-0006,imessage-0007,imessage-0009,imessage-0011,imessage-0012)

![12:47 PM — “Milo with no hair”](source:imessage-0006)

[Saved social session](sessions.html#social-ac24d7f89e09)

[Saved social session](sessions.html#social-966938fb7c7e)



Around 1:10, you viewed a files SDK; at 1:21, you searched for Pandoc. Between those visits, you checked the research prompt and the missing plan. You found duplicate run boxes and asked for reopened chats to start at the latest message. At 1:22, Codex also clarified that the remote runner used a non-interactive command with `/goal` in its text, not the interactive goal session you had requested. [Sources](source:browser-0814,browser-0837,codex-0334,codex-0344,codex-0352,codex-0362,codex-0374,codex-0376)



At 1:27, you asked why a research run had produced such a strange HTML result. Codex found that the run had a report, but the interface selected an oTree experiment template from its output files. It later reported changing that selection rule. You also had the music goal running and opened Messenger at 1:38. [Sources](source:codex-0380,codex-0387,codex-0425,codex-0388,codex-0401,browser-0883)

[Saved social session](sessions.html#social-e5dae95a4d8a)



A successful music score copied into the chat at 1:41 came from a May 6 run. When you listened, your response was “it still sounds bad.” You named the problems: “you didnt add the right kind of LFO that the real one has. 2. there's a weird quietness thing.” You asked for stricter scoring that would catch them. At 1:46, you opened “The Pig-or-Wig Theory of Populism.” You also asked Alpha Research to display images and PDFs correctly. [Sources](source:codex-0421,codex-0434,codex-0436,codex-0449,browser-0909,codex-0440,codex-0445,codex-0462)

## 2:00–4:00 PM

[Saved social session](sessions.html#social-5f844dc43645)

[Saved social session](sessions.html#social-5cbc4ac32c8c)

[Saved social session](sessions.html#social-5c1027cdf7c5)



At 2:11, you asked where research outputs would remain after a temporary worker stopped. You approved saving them in R2. At 2:20, you posted an X reply to dany and Brian Chesky proposing a “semantic search box”: you would enter “historic property walking distance to french quarter new orleans with parking” and get a grid or map. The point was “the real trick is reasoning over descriptions / images for what's "historic"”. Codex reported adding the R2 storage at 2:21. [Sources](source:codex-0519,codex-0530,x-0001,codex-0573)



At 2:25, you challenged both the testing and the report. It was not ready for your boss and did not read like a real paper. At 2:27, you liked the proposed 6:30 gathering time. Around 2:29, you searched for the sizes of Anna’s Archive and the Internet Archive, and checked how many gigabytes are in a petabyte. [Sources](source:codex-0583,imessage-0015,browser-0995,browser-0999,browser-1001)



At 2:30, you asked ChatGPT, “anna's archive has 63 million books and the internet archive 25 million books is this pretty comprhenesive ?” ChatGPT answered that the collections overlap and that counting books does not establish how much usable text they contain. [Sources](source:chatgpt-0029,chatgpt-0031)



Codex acknowledged that it had initially checked only the R2 configuration; it reported an actual upload, download, and deletion test. You kept asking for the full research prompt. You wanted stronger methods and results, with useful tables and figures, and clearer positive instructions. Codex reported changing it. You also found that reopening a chat could lose the dataset context and that sending a message created a large blank gap. [Sources](source:codex-0603,codex-0617,codex-0628,codex-0643,codex-0633,codex-0672,codex-0686,codex-0648,codex-0671)

[Saved social session](sessions.html#social-4e98d1434ce5)



At 2:48, you asked for easier scrolling, short generated session titles, and a spinner for an active research run. You also wanted wider reports. In the music interface, you wanted to hear each full attempt while the run continued, remove the five-iteration cap, and read plain-English decisions instead of internal labels. [Sources](source:codex-0723,codex-0738,codex-0773,codex-0794)



At 2:51, an Instagram caption said, “Detroit is filling in I-375 and turning it into a regular street.” At 2:53, you liked a post describing “Tempe is starting to feel like the new Miami in its own desert version”. In the group chat at 2:57, your friend proposed hot dogs and corn for the grill. [Sources](source:instagram-0149,instagram-0150,imessage-0017)

[Saved social session](sessions.html#social-c2141cf2f838)



At 3:01, you asked why automations could not reach the web and requested full permissions. You continued checking the research layout and asking the music graph to show what the run was actually doing. At 3:22, you opened OpenAI’s deployment-company announcement and pages about forward-deployed engineers and Tomoro. [Sources](source:codex-0809,codex-0816,codex-0838,codex-0872,codex-0885,browser-1172,browser-1174,browser-1175)

[Saved social session](sessions.html#social-c26012e45e29)



From 3:29, you looked up Tunnel Tops Park, Joost Klein, and Britsum. You also explored Sea Gate and Brighton Beach in Google Maps. An apartment alert arrived at 3:32 for a listing in Manhattan. At 3:40, Cal.com emailed a booking notice for a 30-minute meeting with Taylor Reed. [Sources](source:browser-1202,browser-1210,browser-1212,browser-1233,browser-1332,gmail-0008,gmail-0007)



At 3:43, Codex explained why dataset maintenance had sent no Slack notice: the job no longer attempted the downloads that triggered it. It also reported a profile update failing with HTTP 405. A minute later, Instagram presented a map captioned “Where do Chicagoans have the most friendships?” At 3:47, you caught a music preview playing about half a second instead of five. Codex found that the interface had selected a short diagnostic WAV file. [Sources](source:codex-1056,codex-1066,instagram-0166,codex-1071,codex-1078,codex-1079,codex-1080)

## 4:00–5:45 PM

[Saved social session](sessions.html#social-8b34222ebd56)

[Saved social session](sessions.html#social-72c27f17dfe9)



At 4:21, you wrote, “holy shit it sounds good !” Then, in the same message: “oh wait the score is 1.00 did i cheat ? did it actually produce the midi or did it steal the target audio and insert it in there ???” Codex checked and confirmed it: the winning step loaded the reference clip into a sample player. The near-perfect score was invalid. You replied, “bruh wtf. how do we stop it from doing that ?” [Sources](source:codex-1148,codex-1152,codex-1153)



At 4:23, the group chat returned to food: someone offered to bring chips and salsa and asked for a vegan hot dog. [Sources](source:imessage-0018,imessage-0019)

[Saved social session](sessions.html#social-cf433f777684)



At 4:26, you asked ChatGPT about the production of “Between the Buttons”: “Has anyone made a synth patch of their exact setup ?” It reported finding no confirmed exact patch, but pointed you to a Serum remake. [Sources](source:chatgpt-0032,chatgpt-0034)

[Saved social session](sessions.html#social-0a4ef09614a4)



At 4:29, you opened a video recreating “Between the Buttons” in FL Studio and Serum. You brought ideas about filtered synth sounds, chorus, delay, sidechain movement, and reverb back to Codex. You asked why the agent was drawing odd volume curves. It said the scoring put too much weight on loudness and had rejected some improvements in tone. Your instruction was “Definitiely punish random automation points on volume.” Then you checked another assumption: “We're using Vital as the synth , right ?” It was not; the run used an internal sound generator. [Sources](source:browser-1384,codex-1164,codex-1166,codex-1169,codex-1171)



From 4:39, you searched for the Minimoog, Juno-60, and oscillator stability. At 4:40, you asked ChatGPT, “is it possible to get the sound of a moog model d with vital synth ? just with the right parameters ?” A minute later: “same with the juno ?” Around 4:47, you looked up groceries, Aldi, Jewel-Osco, and Fort Knox Studios in Maps. At 4:48, Codex reported a successful one-second stereo render through the Vital plugin installed on your Mac. It clarified that the other effects were internal approximations, not third-party audio plugins. [Sources](source:browser-1403,browser-1406,browser-1409,browser-1423,browser-1437,browser-1438,browser-1448,codex-1188,codex-1190,chatgpt-0035,chatgpt-0036,chatgpt-0037,chatgpt-0038)

[Saved social session](sessions.html#social-0d0d3ab1dcdc)



You asked about paid plugins, then free alternatives. Your browsing included MicroKorg arpeggiation, ShaperBox, Arturia’s chorus, FabFilter compression, Valhalla Supermassive, PanCake, and DC1A. At 4:54, you asked ChatGPT, “does a free synth like vital sound meaningfully different from a paid synth ? what about effects ?” At 4:57, you decided: “Ok well we have everything on the mac so let's roll with what we got.” You wanted the agent to research the song once, write a guide, and use it throughout the run. At the same time, United’s email listed your May 12 flight from O’Hare to LaGuardia. [Sources](source:codex-1191,codex-1194,browser-1465,browser-1469,browser-1471,browser-1472,browser-1479,browser-1480,browser-1488,codex-1204,gmail-0004,chatgpt-0039,chatgpt-0040)



At 5:01, you corrected the agent when it returned to the old critic-and-producer setup: “We're doing Goal runs , now.” [Sources](source:codex-1214,codex-1216)

[Saved social session](sessions.html#social-85ca58ea6d16)



The music instructions changed to use a clean run folder. [Sources](source:codex-1236)



At 5:14, you were still trying to see the actual instructions: “WHAT ARE THE PROMPTS AHHHHH” Then: “Holy shit simplify this prompt. Much much much more simple.” [Sources](source:codex-1265,codex-1270) In the group chat that minute, another person offered to stop at the Aldi on Milwaukee on the way over. [Sources](source:imessage-0025)



At 5:20, you opened Thinking Machines’ page on interaction models. You then checked whether all three notes in the music chord were playing. Updates were split between run pages, so you asked to stop the old processes and restart with one page. You also flagged unexpected iteration numbers, missing decision logs, and a score absent from the graph. [Sources](source:browser-1597,codex-1294,codex-1301,codex-1318,codex-1322,codex-1349,codex-1359,codex-1375)

## Visiting friends



Maps places you near a transit stop before 6:00; you searched for the station at 6:06. [Sources](source:photos-0001,google_timeline-0003,google_timeline-0004,google_takeout-0325)

![5:46 PM — photo from your library.](source:photos-0001)

[Saved social session](sessions.html#social-e29876567a71)



At 6:07, you asked the group, “Address ?” A friend sent the address. You requested directions to it and also looked up Lola’s Diner 3. At 6:21, you checked whether the music agent was still running. Your route then fits a trip by public transit and a walk toward your friend's home. [Sources](source:imessage-0037,imessage-0038,google_takeout-0330,google_takeout-0326,google_takeout-0328,codex-1425,google_takeout-0333,google_timeline-0007,google_timeline-0008)



Around 6:33 PM, your credit card recorded a $6.66 charge from Aldi. [Sources](source:finance-0002)

[Saved social session](sessions.html#social-676c1ff41c1a)



By about 6:45, Maps places you near your friend's home. Two minutes later, you asked, “Apt num ?” The location record keeps you there until about 10:53. The group had planned grilling and Catan. At 6:50, the background music agent reported a best score of about 0.681, below your 0.8 target, and kept testing. [Sources](source:google_timeline-0009,imessage-0039,imessage-0012,imessage-0017,codex-1470,codex-1473)



Around 7:00, you looked up Los Potrillos and Joong Boo Market. At 7:08, you searched for new Adizero marathon shoes. [Sources](source:google_takeout-0360,google_takeout-0361,browser-1672)

## Evening and the return home



Around 8:25, Google activity records you watching Jaden Williams’s “How we treated AI in 2023 vs 2026.” [Sources](source:google_takeout-0378)

[Saved social session](sessions.html#social-098ec9978304)



At 9:28, someone asked you to let the dog out of his crate because he was crying. At 10:05, you replied, “Im not home”. Around 10:40, you searched for superforecasting, opened Metaculus, and looked up RAND. [Sources](source:imessage-0040,imessage-0041,imessage-0042,browser-1688,browser-1689,browser-1693,browser-1696)



At 10:48 PM, your credit card recorded a $12.73 charge from Lyft. About 12 seconds later, a message said your driver was three minutes away. At 10:51, it said your driver had arrived in a Kia Carnival. Maps records the vehicle trip and your return home around 11:15. [Sources](source:finance-0001,imessage-0043,imessage-0044,google_timeline-0010,google_timeline-0011)



Back home, you returned to X from 11:17 to 11:30. Near the end, you opened Citrini’s profile. [Sources](source:browser-1699,google_takeout-0410,browser-1739,google_takeout-0472,browser-1740,google_takeout-0474)

## Your May 11 notes

[Saved social session](sessions.html#social-42e85fc89a53)



In your Alpha Research note, you wrote: “I have a tough time declaring something done and shipping it. I will polish it for too long (alpha book for 1 month, now alpha research the general platform for 1 month)” Outreach was part of the problem: “I hate I hate cold calling I hate any room where I feel like im begging.” You had tried a launch video, then left it when it did not gain momentum. The note ended, “Anytime I get too deep into top level planning or retrospection I go onto twitter or instagram and that distracts me from it. Because the introspection makes me uncomfortable” [Read passage](source:apple_notes-0002)



You returned to “the introspection makes me uncomfortable”, a phrase your younger self would have mocked. Your question to him was “what would you say instead ?” You wrote: “you read others through the bottleneck of course they are low res . YOU WILL NEVER BE HIGH RES TO ANYONE BUT YOURSELF” [Read passage][language]



Your old model of social media was “There is a collection of facts they sample and present to you. Here is what people think.” Your new account was: “Every possible sentiment is tried as a shower thought. One in a million hits someones fears on the head and gets engagement. The creator gets audience captured into that. Demand driven.” [Read passage][social-media]

## Other records



Spotify saved 15 plays, including repeats and partial plays. [Show all](source:spotify-0001,spotify-0002,spotify-0003,spotify-0004,spotify-0005,spotify-0006,spotify-0007,spotify-0008,spotify-0009,spotify-0010,spotify-0011,spotify-0012,spotify-0013,spotify-0014,spotify-0015)


## Supporting document: time-estimates

# May 11 time estimates

**Work:** First-to-last [Codex and ChatGPT messages](documents.html), split at gaps over 15 minutes. Excludes automated prompts and unattended runs.

**X and Instagram:** First-to-last visits in each [session](sessions.html), split at gaps over five minutes.

**Friends:** [6:45–10:53 PM](source:google_timeline-0009), from Google Maps.

**Travel:** About 56 minutes [outward](source:google_timeline-0003) and 22 minutes [home](source:google_timeline-0010), including stops. Departure time is approximate.

**Spotify:** Sum of the [15 saved playback durations](source:spotify-0001), including partial plays.

Work and browsing periods can include breaks and overlap. They do not measure continuous attention.

[language]: source:roam-0001#L3-L6
[social-media]: source:roam-0001#L7-L8

"""Check the prepared folder, approved example, date, and timezone."""
import datetime as dt
import json
import sys
from pathlib import Path
from zoneinfo import ZoneInfo

from briefing_artifacts import source_digest
from briefing_files import folder, local_path
from briefing_sessions import social_sessions


def inputs(a):
    date = dt.date.fromisoformat(a['day']).isoformat()
    zone = ZoneInfo(a['timezone'])
    prepared = folder('selected_day')
    if prepared != Path(a['prepared_day']).resolve():
        raise ValueError('Method folders do not match the runtime tool bindings')
    required = {
        'selected_day': ['timeline.jsonl', 'untimed.jsonl', 'records/',
                         'metadata/documents.json'],
    }
    for which, names in required.items():
        for name in names:
            try:
                path = local_path(which, name)
            except FileNotFoundError:
                raise ValueError(f'Missing required input: {which}/{name}') from None
            if not (path.is_dir() if name.endswith('/') else path.is_file()):
                raise ValueError(f'Expected a {"folder" if name.endswith("/") else "file"}: {which}/{name}')
    for name in ['timeline.jsonl', 'untimed.jsonl']:
        for row in map(json.loads, (prepared/name).read_text().splitlines()):
            if row['date'] != date:
                raise ValueError('Selected date does not match the prepared day')
            if row.get('time'):
                saved = dt.datetime.fromisoformat(row['time'])
                local = saved.astimezone(zone)
                if local.date().isoformat() != date or local.utcoffset() != saved.utcoffset():
                    raise ValueError('Selected timezone does not match the prepared times')
    report = (Path(__file__).parent/'approved-report.md').read_text()
    return {'selected_day': {'source_digest': source_digest(), 'folder': str(prepared), 'day': date, 'timezone': a['timezone'], 'start': 'timeline.jsonl'},
            'session_links': '\n'.join('['+g['platform']+' '+g['start']+'–'+g['end']+'](sessions.html#'+g['id']+')' for g in social_sessions(prepared)),
            'example': {'report': report}}


if __name__ == '__main__':
    print(json.dumps(inputs(json.load(sys.stdin)), ensure_ascii=False))

"""Read the example and selected day's files."""
import json
import os
import sys
from pathlib import Path

ROOTS = {'selected_day', 'run'}


def folder(which):
    if which not in ROOTS:
        raise ValueError('Choose selected_day or run')
    if which == 'run':
        return Path(os.environ['METHOD_OUTPUT_DIR']).resolve(strict=True)
    return Path(json.loads(os.environ['METHOD_ENVIRONMENT'])['prepared_day']).resolve(strict=True)


def local_path(which, name):
    root = folder(which)
    path = (root / name).resolve(strict=True)
    if not path.is_relative_to(root):
        raise ValueError('Path is outside the selected folder')
    return path


def page(text, offset):
    if not isinstance(offset, int) or not 0 <= offset <= len(text):
        raise ValueError('Invalid character offset')
    end = min(len(text), offset + 20000)
    return {'content': text[offset:end], 'next_offset': end if end < len(text) else -1,
            'total_chars': len(text)}

"""Read and write the files produced by a briefing run."""
import hashlib
import json
import os
from pathlib import Path

from briefing_files import folder


def digest(path):
    return hashlib.sha256(path.read_bytes()).hexdigest()


def tree(root):
    return {str(p.relative_to(root)): digest(p) for p in sorted(root.rglob('*')) if p.is_file()}


def source_digest():
    return hashlib.sha256(json.dumps(tree(folder('selected_day')),sort_keys=True).encode()).hexdigest()


def local(name):
    root=Path(os.environ['METHOD_OUTPUT_DIR']).resolve()
    path=(root/name).resolve()
    if not path.is_relative_to(root):raise ValueError('Path leaves the run folder')
    return path


def put(path, data):
    path=local(path)
    path.parent.mkdir(parents=True,exist_ok=True)
    path.write_text(json.dumps(data,ensure_ascii=False,indent=2)+'\n');path.chmod(0o600)
    return {'path':str(path.relative_to(local('.'))),'sha256':digest(path)}


def load(ref):
    path=local(ref['path'])
    if digest(path)!=ref['sha256']:raise ValueError('The saved file changed')
    return json.loads(path.read_text())

"""Calculate durations from explicit source selections. No model calls or prose writing."""
import datetime as dt
import itertools
import json
import math
import sys
from zoneinfo import ZoneInfo

from briefing_files import folder


def number(value):
    if isinstance(value, bool) or not isinstance(value, (int, float)) or not math.isfinite(value) or value < 0:
        raise ValueError('Expected a finite, nonnegative number')
    return value


def stamp(value):
    value = dt.datetime.fromisoformat(value)
    if value.utcoffset() is None:
        raise ValueError('An estimate needs a timestamp with a saved clock offset')
    return value.astimezone(dt.timezone.utc)


def union(ranges):
    merged = []
    for start, end in sorted(ranges):
        if end <= start:
            continue
        if merged and start <= merged[-1][1]:
            merged[-1] = (merged[-1][0], max(end, merged[-1][1]))
        else:
            merged.append((start, end))
    return merged


def minutes(ranges):
    return sum((end-start).total_seconds()/60 for start, end in union(ranges))


def clusters(points, gap):
    groups = []
    for point in sorted(set(points)):
        if not groups or (point-groups[-1][-1]).total_seconds() > gap*60:
            groups.append([])
        groups[-1].append(point)
    return [(group[0], group[-1]) for group in groups]


def calculate(plan, prepared, day, timezone):
    zone = ZoneInfo(timezone)
    date = dt.date.fromisoformat(day)
    lower = dt.datetime.combine(date, dt.time(), zone).astimezone(dt.timezone.utc)
    upper = dt.datetime.combine(date+dt.timedelta(days=1), dt.time(), zone).astimezone(dt.timezone.utc)
    records = {}

    def record(cid):
        if not isinstance(cid, str) or not cid or any(c not in 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_' for c in cid):
            raise ValueError('Invalid record ID')
        path = (prepared/'records'/f'{cid}.json').resolve(strict=True)
        if not path.is_relative_to(prepared.resolve()):
            raise ValueError('Record is outside prepared folder')
        if cid not in records:
            records[cid] = json.loads(path.read_text())['prepared']
        return records[cid]

    def value(ref):
        obj = record(ref['record_id'])
        for key in ref['field'].split('.'):
            obj = obj[key]
        return obj

    def clipped(ranges):
        result = []
        for start, end in ranges:
            if end < start:
                raise ValueError('An interval ends before it starts')
            start, end = max(start, lower), min(end, upper)
            if end >= start:
                result.append((start, end))
        return union(result)

    results, all_ranges, ids = [], {}, set()
    for activity in plan['activities']:
        aid = activity['id']
        if aid in ids:
            raise ValueError('Repeated activity ID')
        ids.add(aid)
        mode = activity['mode']
        sources, ranges, extra = set(), [], {}
        # Reasons and exclusions are agent decisions. The script retains them unchanged.
        for exclusion in activity.get('excluded', []):
            for cid in exclusion['record_ids']:
                record(cid)
        if mode == 'points':
            gap = number(activity['gap_minutes'])
            points = []
            for ref in activity['points']:
                point = stamp(value(ref))
                if not lower <= point < upper:
                    raise ValueError('Point is outside the selected day')
                sources.add(ref['record_id']); points.append(point)
            ranges = clusters(points, gap)
            extra['gap_sensitivity_minutes'] = {str(g): minutes(clusters(points, number(g))) for g in activity.get('compare_gaps', [])}
        elif mode == 'intervals':
            for interval in activity['intervals']:
                ranges.append((stamp(value(interval['start'])), stamp(value(interval['end']))))
                sources.update([interval['start']['record_id'], interval['end']['record_id']])
        elif mode == 'durations':
            divisor = {'milliseconds': 60000, 'seconds': 60, 'minutes': 1}[activity['unit']]
            refs = activity['durations']
            keys = [(r['record_id'], r['field']) for r in refs]
            if len(set(keys)) != len(keys):
                raise ValueError('Repeated duration source')
            total = sum(number(value(ref)) for ref in refs)/divisor
            sources.update(ref['record_id'] for ref in refs)
        else:
            raise ValueError('Unknown calculation mode')
        ranges = clipped(ranges)
        if mode != 'durations':
            total = minutes(ranges)
            all_ranges[aid] = ranges
        results.append({'id': aid, 'label': activity['label'], 'minutes': total,
                        'ranges': [{'start': a.astimezone(zone).isoformat(), 'end': b.astimezone(zone).isoformat()} for a,b in ranges],
                        'source_record_ids': sorted(sources), 'reason': activity['reason'],
                        'excluded': activity.get('excluded', []), **extra})
    overlaps = [{'activities': [a,b], 'minutes': minutes([(max(x,u),min(y,v)) for x,y in all_ranges[a] for u,v in all_ranges[b] if max(x,u)<min(y,v)])}
                for a,b in itertools.combinations(all_ranges, 2)]
    return {'day': day, 'timezone': timezone, 'activities': results, 'overlaps': overlaps,
            'not_estimated': plan.get('not_estimated', [])}


def explanation(result):
    """Display the saved arithmetic and the writer's reasons without changing them."""
    lines=['# Time estimates', '', 'Session spans and recorded durations can overlap. They do not measure continuous attention.', '']
    for activity in result['activities']:
        lines += ['## '+activity['label'], '', f"{activity['minutes']:.1f} minutes. "+activity['reason'], '']
        sensitivity=activity.get('gap_sensitivity_minutes', {})
        if sensitivity:
            lines += ['Changing the session gap: '+', '.join(f'{gap} minutes → {value:.1f} minutes' for gap,value in sensitivity.items())+'.', '']
        for excluded in activity.get('excluded', []):
            lines += [excluded.get('reason', str(excluded)) if isinstance(excluded, dict) else str(excluded), '']
    if result.get('not_estimated'):
        lines += ['## Not estimated', '', *[(str(item.get('label') or item.get('id') or '')+': '+str(item.get('reason') or '')) if isinstance(item, dict) else str(item) for item in result['not_estimated']]]
    return '\n'.join(lines)


def calculate_activity_times(args):
    from briefing_artifacts import local, put
    plan = json.loads(args['plan'])
    result = calculate(plan, folder('selected_day'), args['day'], args['timezone'])
    # Calculate first so an invalid request leaves the last successful files intact.
    files = [put(local('time-plan.json'), plan), put(local('time-estimates.json'), result)]
    return {'estimates': json.dumps(result, ensure_ascii=False), 'files': files}


if __name__ == '__main__':
    print(json.dumps(calculate_activity_times(json.load(sys.stdin)), ensure_ascii=False))

"""Group saved social visits for the website. This is not a time estimate."""
import datetime as dt
import hashlib
import json


def stamp(value):return dt.datetime.fromisoformat(value)


DEFAULT_DISPLAY_GAP_SECONDS = 300

def social_sessions(prepared, gap_seconds=DEFAULT_DISPLAY_GAP_SECONDS):
    if gap_seconds <= 0: raise ValueError('The display gap must be positive')
    if not (prepared/'sessions.json').exists(): return []
    entries={r['entry_id']:r for r in map(json.loads,(prepared/'timeline.jsonl').read_text().splitlines())}
    groups=[];source_sessions=json.loads((prepared/'sessions.json').read_text())
    for session in source_sessions:
        for social in session['social']:
            segments=[]
            for eid in social['event_ids']:
                row=entries[eid]
                if not segments or (stamp(row['time'])-stamp(segments[-1][-1]['time'])).total_seconds()>gap_seconds:segments.append([])
                segments[-1].append(row)
            for segment in segments:
                sid='social-'+hashlib.sha256((session['session_id']+'|'+social['platform']+'|'+segment[0]['entry_id']).encode()).hexdigest()[:12]
                start,end=segment[0]['time'],segment[-1]['time']
                full=[entries[eid] for eid in session['event_ids'] if stamp(start)<=stamp(entries[eid]['time'])<=stamp(end)]
                groups.append({'id':sid,'parent':session['session_id'],'platform':social['platform'],'stream':session['stream'],'start':start,'end':end,'social':segment,'full':full})
    # Keep isolated uncertain Takeout records as separate rows in the overlapping view.
    attached=set()
    for g in groups:
        if not g['stream'].startswith('takeout:') or len(g['social'])!=1:continue
        candidates=[other for other in groups if other['stream'].startswith('browser:') and other['platform']==g['platform'] and stamp(other['start'])<=stamp(g['start'])<=stamp(other['end'])]
        if len(candidates)==1:
            candidates[0]['full']+=g['full'];attached.add(g['id'])
    groups=[g for g in groups if g['id'] not in attached]
    return sorted(groups,key=lambda g:(stamp(g["start"]),g["id"]))

"""Check draft references and website links."""
import json
import sys
from html.parser import HTMLParser
from urllib.parse import unquote, urlsplit

from briefing_artifacts import digest, local
from briefing_times import explanation
from briefing_files import folder
from briefing_markdown import parse


def check_draft(draft, day, supporting=()):
    doc=parse(draft, day, supporting=supporting)
    records={p.stem for p in (folder('selected_day')/'records').glob('*.json')}
    supplements={s['id'] for s in doc['supplements']}
    if len(supplements)!=len(doc['supplements']):raise ValueError('Repeated supplement ID')
    if records & supplements:raise ValueError('A supplement uses a source record ID')
    allowed=records|supplements
    for citation in doc['citations']:
        if set(citation['citations'])-allowed:raise ValueError('Unknown citation')
    for photo in doc['photos']:
        if photo['id'] not in records:raise ValueError('Unknown photo record')
    for cid,ranges in doc.get('source_ranges',{}).items():
        text = (json.loads((folder('selected_day')/'records'/f'{cid}.json').read_text())['prepared']['text']
                if cid in records else next(s['text'] for s in doc['supplements'] if s['id']==cid))
        for first,last in ranges.values():
            if not 1<=first<=last<=len(text.splitlines()):raise ValueError('Passage lines are outside the saved text')
    return doc


class Links(HTMLParser):
    def __init__(self):super().__init__();self.ids=set();self.links=[];self.citations=[];self.entries=set()
    def handle_starttag(self,tag,attrs):
        a=dict(attrs)
        if 'id' in a:self.ids.add(a['id'])
        if 'data-entry' in a:self.entries.add(a['data-entry'])
        for name in ('href','src'):
            if name in a:self.links.append(a[name])
        if 'data-ids' in a:self.citations.extend(json.loads(a['data-ids']))


def check_website(root):
    pages={}
    for path in root.glob('*.html'):
        page=Links();page.feed(path.read_text());pages[path.resolve()]=page
    for path,page in pages.items():
        for link in page.links:
            url=urlsplit(link)
            if url.scheme or url.netloc:continue
            target=(path.parent/unquote(url.path)).resolve() if url.path else path
            if not target.is_relative_to(root.resolve()) or not target.is_file():raise ValueError('Broken local website link: '+link)
            if url.fragment and target in pages and unquote(url.fragment) not in pages[target].ids:raise ValueError('Missing passage anchor: '+link)
        if any(not (root/'data'/f'{cid}.json').is_file() for cid in page.citations):raise ValueError('A citation has no source view')
    groups=json.loads((root/'display-groups.json').read_text())
    if any(g['id'] not in pages[(root/'sessions.html').resolve()].ids for g in groups):raise ValueError('A browsing group is absent from the sessions page')
    sessions = folder('selected_day')/'sessions.json'
    expected={eid for session in (json.loads(sessions.read_text()) if sessions.exists() else []) for social in session['social'] for eid in social['event_ids']}
    shown={eid for group in groups for eid in group['full']}
    if expected-shown:raise ValueError('A saved social visit is absent from the website')
    entries=[row for name in ['timeline.jsonl','untimed.jsonl'] for row in map(json.loads,(folder('selected_day')/name).read_text().splitlines())]
    browser_ids={row['entry_id'] for row in entries if json.loads((folder('selected_day')/'records'/f"{row['source_record_ids'][0]}.json").read_text())['prepared']['source'] in ['browser','google_takeout']}
    if browser_ids and browser_ids-pages[(root/'browser.html').resolve()].entries:raise ValueError('A browser visit is absent from All browser visits')
    return len(groups)


def supporting_files(args):
    day = args['selected_day']
    supporting, files = [], {}
    for ref in args.get('supporting_files', []):
        path = local(ref['path'])
        if digest(path) != ref['sha256']:
            raise ValueError('A supporting file changed: ' + path.name)
        if path.suffix not in ('.json', '.md', '.txt') or path.name in ('briefing.md', 'briefing.json', 'website-result.json') or path.name in files:
            raise ValueError('Invalid supporting file: ' + path.name)
        text = path.read_text()
        if path.name == 'time-estimates.json':
            estimates = json.loads(text)
            if (estimates['day'], estimates['timezone']) != (day['day'], day['timezone']):
                raise ValueError('Calculated times do not match the selected date and timezone')
            text = explanation(estimates)
        elif path.suffix == '.json':
            text = '```json\n'+text+'\n```'
        files[path.name] = path
        supporting.append({'id': path.stem, 'title': path.stem.replace('-', ' ').capitalize(), 'text': text})
    return supporting, files


def check_written_briefing(args):
    try:
        values = {**args['inputs'], **args['outputs']}
        supporting, files = supporting_files(values)
        doc = check_draft(values['draft'], values['selected_day'], supporting)
        return {'status': 'pass', 'reason': 'Source links and supporting files are valid.',
                'evidence': [f"{len(doc['citations'])} citations checked.", f"{len(files)} supporting files checked."]}
    except (ValueError, KeyError, OSError) as error:
        return {'status': 'fail', 'reason': str(error), 'evidence': []}


if __name__ == '__main__':
    print(json.dumps(check_written_briefing(json.load(sys.stdin))))

"""Render, check, and save a briefing once. Inputs remain read-only."""
import contextlib
import hashlib
import json
from pathlib import Path
import shutil
import sys
import tempfile

from briefing_artifacts import digest, local, put, source_digest, tree
from briefing_files import folder
from briefing_manifest import website_manifest
from briefing_validation import supporting_files, check_website
from briefing_markdown import parse
from briefing_website import build
from briefing_progress import progress


def render_and_save(args):
    day, draft = args['selected_day'], args['draft']
    supporting, files = supporting_files(args)
    proposal = parse(draft, day, supporting=supporting)
    progress('Rendering the briefing and its sources.')
    temporary = Path(tempfile.mkdtemp(prefix='briefing-', dir=local('.')))
    try:
        (temporary/'briefing.md').write_text(draft)
        for name, path in files.items(): shutil.copyfile(path, temporary/name)
        website = temporary/'website'
        with contextlib.redirect_stdout(sys.stderr):
            build(folder('selected_day'), temporary/'briefing.md', website,
                  Path(__file__).parent/'vendor/marked.mjs', day, proposal)
        for target in proposal['local_files']:
            relative = target['path']
            destination = (website/relative).resolve()
            if not destination.is_relative_to(website.resolve()):
                raise ValueError('File target leaves the website: ' + relative)
            if destination.is_file(): continue
            source = files.get(relative)
            if source is None:
                source = (folder('selected_day')/relative).resolve()
                if not source.is_relative_to(folder('selected_day').resolve()):
                    raise ValueError('File target leaves the prepared folder: ' + relative)
            if not source.is_file(): raise ValueError('Missing linked file: ' + relative)
            destination.parent.mkdir(parents=True, exist_ok=True)
            shutil.copyfile(source, destination)
        check_website(website)
        if source_digest() != day['source_digest']:
            raise ValueError('Prepared sources changed during the run')
        inventory = tree(website)
        extras = ['briefing.md', *files]
        signature = hashlib.sha256(json.dumps({'website': inventory,
            'files': {name:digest(temporary/name) for name in extras}}, sort_keys=True).encode()).hexdigest()
        destination = local('saved/'+signature)
        destination.parent.mkdir(parents=True, exist_ok=True)
        if destination.exists():
            if tree(destination/'website') != inventory or any(digest(destination/name) != digest(temporary/name) for name in extras):
                raise ValueError('Existing saved output changed')
        else:
            temporary.rename(destination)
        published = website_manifest(destination, inventory, 'Briefing for '+day['day'], extras)
        receipt = put(destination/'briefing.json', {'day':day['day'], 'timezone':day['timezone'],
            'website':str((destination/'website/index.html').relative_to(local('.'))),
            'source_digest':day['source_digest'], 'supporting_files':list(files)})
        progress('Briefing saved. Website links are valid.')
        return {'saved_briefing':receipt, 'published_website':published}
    finally:
        if temporary.exists(): shutil.rmtree(temporary)


if __name__ == '__main__':
    print(json.dumps(render_and_save(json.load(sys.stdin)), ensure_ascii=False))

"""Describe only the generated website and its explicit supporting outputs."""
import mimetypes
from pathlib import PurePosixPath
from briefing_artifacts import digest, local, put


def website_manifest(destination, inventory, title, extras):
    destination = local(destination)
    files = []
    for relative, expected in inventory.items():
        path = PurePosixPath(relative)
        if path.is_absolute() or any(part in ('..', 'sensitive') for part in path.parts):
            raise ValueError('Invalid website output path')
        files.append({'path': 'website/' + relative, 'sha256': expected,
                      'media_type': mimetypes.guess_type(relative)[0] or 'application/octet-stream'})
    for name in extras:
        if PurePosixPath(name).name != name or name == 'sensitive':
            raise ValueError('Invalid supporting output path')
        files.append({'path': name, 'sha256': digest(destination / name),
                      'media_type': mimetypes.guess_type(name)[0] or 'application/octet-stream'})
    return put(destination / 'website-result.json', {
        'schema': 'method-website/1', 'title': title, 'entrypoint': 'website/index.html', 'files': files,
    })

"""Read ordinary Markdown and collect source links without prescribing prose."""
import datetime as dt
import json
import os
from pathlib import Path
import re
import subprocess
from zoneinfo import ZoneInfo


def parse(text, day, marked=None, supporting=()):
    date = dt.date.fromisoformat(day['day'])
    ZoneInfo(day['timezone'])
    supplements = list(supporting)
    module = Path(marked or os.environ.get('DAILY_BRIEFING_MARKED') or Path(__file__).parent/'vendor/marked.mjs').resolve()
    code = r'''
import {marked} from MARKED;
let chunks=[];for await(const c of process.stdin)chunks.push(c);
const text=Buffer.concat(chunks).toString();
const escape=s=>s.replaceAll('&','&amp;').replaceAll('<','&lt;').replaceAll('>','&gt;').replaceAll('"','&quot;');
const citations=[],photos=[],local_files=[];
const target=(href,image=false)=>{
 if (/^(https?:|#)/.test(href)) return;
 if (/^[a-z][a-z0-9+.-]*:/i.test(href) || href.startsWith('/')) throw Error(`Unsupported file target: ${href}`);
 const path=decodeURIComponent(href.split(/[?#]/)[0]);
 if (path.split(/[\\/]/).some(x=>x==='..'||x==='sensitive'||x==='.git'||x.startsWith('.env'))) throw Error(`Unsafe file target: ${href}`);
 if(path)local_files.push({path,image});
};
marked.use({renderer:{
 html(token){return token.text.startsWith('<!--')?'':escape(token.text)},
 link(token){
  const label=this.parser.parseInline(token.tokens), href=token.href;
  if(href.startsWith('source:')){const index=citations.length;citations.push({target:href.slice(7),label});return `<!--briefing-citation-${index}-->`}
  target(href); return `<a href="${escape(href)}" rel="noopener noreferrer">${label}</a>`;
 },
 image(token){
  if(token.href.startsWith('source:')){const index=photos.length;photos.push({id:token.href.slice(7),caption:token.text});return `<!--briefing-photo-${index}-->`}
  target(token.href,true); return `<img src="${escape(token.href)}" alt="${escape(token.text||'')}" loading="lazy">`;
 }
}});
const tokens=marked.lexer(text),blocks=[];
for(const token of tokens){
 if(token.type==='space')continue;
 const one=[token];one.links=tokens.links;
 const session=token.type==='paragraph' && token.tokens?.length===1 && token.tokens[0].type==='link' && /^sessions\.html#.+$/.test(token.tokens[0].href) ? token.tokens[0].href.split('#')[1] : undefined;
 blocks.push({type:token.type,depth:token.depth,text:token.text||'',html:marked.parser(one),...(session?{session}: {})});
}
process.stdout.write(JSON.stringify({blocks,citations,photos,local_files}));
'''.replace('MARKED', json.dumps(module.as_uri()))
    document = json.loads(subprocess.run(['node', '--input-type=module', '-e', code], input=text, text=True, capture_output=True, check=True).stdout)
    ranges = {}
    for citation in document['citations']:
        ids, sep, selection = citation.pop('target').partition('#L')
        citation['citations'] = ids.split(',')
        if not all(re.fullmatch(r'[A-Za-z0-9_-]+', cid) for cid in citation['citations']):
            raise ValueError('Invalid source record ID')
        if sep:
            match = re.fullmatch(r'(\d+)-L(\d+)', selection)
            if not match or len(citation['citations']) != 1:
                raise ValueError('A passage needs one source and #Lfirst-Llast')
            bounds = [int(match[1]), int(match[2])]
            key = 'lines-' + '-'.join(map(str, bounds))
            ranges.setdefault(ids, {})[key] = bounds
            citation['source_range'] = key
    heading = next((b['text'] for b in document['blocks'] if b['type']=='heading' and b.get('depth')==1), date.strftime('%A, %B %d').replace(' 0',' '))
    return {**document, 'day': date.isoformat(), 'timezone': day['timezone'], 'heading': heading,
            'title': heading, 'source_ranges': ranges, 'supplements': supplements}

#!/usr/bin/env python3
"""Build the complete website from the writer's selected content.

Reads accepted prepared data and an Markdown briefing. Never rewrites either.
"""
import argparse
import datetime as dt
import html
import json
import re
import shutil
import subprocess
import sys
from pathlib import Path
from urllib.parse import urlsplit
from briefing_markdown import parse
from briefing_sessions import social_sessions
from briefing_progress import progress

TEMPLATES=Path(__file__).resolve().parent/'reader'


def load(path):return json.loads(path.read_text())
def optional(path):return load(path) if path.exists() else []
def h(value):return html.escape(str(value),quote=True)
def put(path,text):
    path.parent.mkdir(parents=True,exist_ok=True);path.write_text(text);path.chmod(0o600)
def stamp(value):return dt.datetime.fromisoformat(value)
def clock(value):return stamp(value).strftime('%I:%M %p').lstrip('0')
def quotes(text):
    result=[];depth=0;start=0
    for i,char in enumerate(text):
        if char=='“':
            if depth==0:start=i+1
            depth+=1
        elif char=='”' and depth:
            depth-=1
            if depth==0:result.append(text[start:i])
    return result

def readable_time(e):
    time=e['time']
    return stamp(time['local']).strftime('%b %d · %I:%M %p').replace(' 0',' ') if time['local'] else time['day']
def host(url):return (urlsplit(url or '').hostname or '').removeprefix('www.').removeprefix('mobile.')
def safe_url(url):return url if urlsplit(url or '').scheme in ['http','https'] else ''

def render_markdown(texts,marked,source_urls=None):
    # Original HTML is shown as source text. Links open HTTP(S), anchors, or local website pages.
    code="""import {marked} from MARKED;
const escape=s=>s.replaceAll('&','&amp;').replaceAll('<','&lt;').replaceAll('>','&gt;').replaceAll('"','&quot;');
marked.use({renderer:{html(token){return escape(token.text)},link(token){let label=this.parser.parseInline(token.tokens);let href=token.href;if(href.startsWith('source:')){const ids=href.slice(7).split(',');return ids.map((id,i)=>{if(!Object.hasOwn(sources,id))throw Error('Unknown source record: '+id);return '<a target="_blank" rel="noopener noreferrer" href="'+escape(sources[id])+'">'+(i===0?label:'['+(i+1)+']')+'</a>'}).join(' ')}return /^(https?:|#|[a-zA-Z0-9_-]+[.]html(?:#|$))/.test(href)?'<a target="_blank" rel="noopener noreferrer" href="'+escape(href)+'">'+label+'</a>':label},image(token){return escape(token.text||'Image referenced in saved text')}}});
let chunks=[];for await(const c of process.stdin)chunks.push(c);const {texts:inputs,sources}=JSON.parse(Buffer.concat(chunks).toString());
process.stdout.write(JSON.stringify(Object.fromEntries(Object.entries(inputs).map(([key,value])=>[key,marked.parse(value)]))));
""".replace('MARKED',json.dumps(marked.resolve().as_uri()))
    return json.loads(subprocess.run(['node','--input-type=module','-e',code],input=json.dumps({'texts':texts,'sources':source_urls or {}}),text=True,capture_output=True,check=True).stdout)


def convert_photo(original,target):
    from PIL import Image, ImageOps
    from pillow_heif import register_heif_opener
    register_heif_opener()
    with Image.open(original) as source:
        preview=ImageOps.exif_transpose(source)
        preview.thumbnail((1600,1600))
        if preview.mode in ('RGBA','LA') or 'transparency' in preview.info:
            rgba=preview.convert('RGBA');background=Image.new('RGB',rgba.size,'white');background.paste(rgba,mask=rgba.getchannel('A'));preview=background
        preview.convert('RGB').save(target,format='JPEG',quality=85)


def build(prepared,briefing_file,out,marked,day=None,proposal=None):
    proposal=proposal or parse(briefing_file.read_text(),day,marked)
    dest=out
    dest.mkdir(parents=True,exist_ok=True)
    for name in ['reader.css','reader.js']:shutil.copyfile(TEMPLATES/name,dest/name)
    raw={f.stem:load(f) for f in (prepared/'records').glob('*.json')}
    records={cid:data['prepared'] for cid,data in raw.items()}
    entries={r['entry_id']:r for name in ['timeline.jsonl','untimed.jsonl'] for r in map(json.loads,(prepared/name).read_text().splitlines())}
    day=proposal['day']
    title=proposal['title']
    day_label=dt.date.fromisoformat(day).strftime('%b %d, %Y').replace(' 0',' ').upper()
    source_ids={cid:r['source_record_ids'] for r in entries.values() for cid in r['source_record_ids']}
    documents=load(prepared/'metadata/documents.json')
    doc_by_record={cid:d for d in documents for cid in d['record_ids']}
    source_ranges=proposal.get('source_ranges',{})
    texts={cid:e['text'] for cid,e in records.items()}
    for supplement in proposal.get('supplements',[]):texts[supplement['id']]=supplement['text']
    for cid,ranges in source_ranges.items():
        for name,(first,last) in ranges.items():texts[cid+':'+name]='\n'.join(texts[cid].splitlines()[first-1:last])
    contexts=optional(prepared/'context.json')
    for c in contexts:
        data=load(prepared/c['source_json'])
        for r in data['records']:texts['context-'+(r.get('message_id') or r['id'])]=r['text']
    def document_page(doc):
        return 'source-'+Path(doc['path']).stem+'.html'
    source_urls={cid:document_page(doc)+'#'+cid for cid,doc in doc_by_record.items()}
    source_urls.update({s['id']:s['id']+'.html' for s in proposal.get('supplements',[])})
    rendered=render_markdown(texts,marked,source_urls)
    media={}
    for asset in optional(prepared/'media.json'):
        original=prepared/asset['path'];name=Path(asset['path']).stem+'.jpg';target=dest/'media'/name;target.parent.mkdir(exist_ok=True)
        if not target.exists():
            convert_photo(original,target)
        original_target=dest/asset['path'];original_target.parent.mkdir(parents=True,exist_ok=True);shutil.copyfile(original,original_target)
        for cid in asset['records']:media[cid]={'png':'media/'+name,'original':asset['path']}
    def photo(cid,caption):
        asset=media[cid]
        return f'<figure class="photo"><button data-photo="{h(asset["png"])}" aria-label="Enlarge photo"><img src="{h(asset["png"])}" alt="{h(caption)}" loading="lazy"></button><figcaption>{h(caption)} · <a href="{h(asset["original"])}">Original</a></figcaption></figure>'
    groups=social_sessions(prepared)
    browser_rows=[r for r in entries.values() if records[r['source_record_ids'][0]]['source'] in ['browser','google_takeout']]
    navigation=' · '.join((['<a href="sessions.html">X and Instagram sessions</a>'] if groups else [])+(['<a href="browser.html">All browser visits</a>'] if browser_rows else []))
    def page(title,body):
        return f'<!doctype html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>{h(title)}</title><link rel="stylesheet" href="reader.css"></head><body><nav><a href="index.html">{h(day_label)}</a><span>{navigation}</span></nav><main>{body}</main><dialog><button data-close-photo>Close</button><img alt=""></dialog><script src="reader.js"></script></body></html>'
    for supplement in proposal.get('supplements',[]):
        sid=supplement['id'];filename=sid+'.html'
        put(dest/filename,page(supplement['title'],'<h1>'+h(supplement['title'])+'</h1><div class="source-text">'+rendered[sid]+'</div>'))
        put(dest/'data'/f'{sid}.json',json.dumps({'id':sid,'html':rendered[sid],'time':'','date':'','speaker':'','basis':'','document':filename,'reading_label':'Full supporting document','ranges':{name:rendered[sid+':'+name] for name in source_ranges.get(sid,{})}},ensure_ascii=False))
    def speaker(e):
        role=e['actor_role']
        if e['source']=='imessage':return 'User' if role=='user_written' else e['attributes'].get('sender') or 'Not supplied'
        return {'user_written':'User','user':'User','assistant':'Assistant','other_person':'Other person'}.get(role,'')
    def record_html(cid):
        e=records[cid];meta=' · '.join(filter(None,[readable_time(e),speaker(e)]))
        return f'<article class="record" id="{h(cid)}"><div class="record-head">{h(meta)} <a href="records/{h(cid)}.json">Source JSON</a></div><div class="source-text">{rendered[cid]}</div>'+ (photo(cid,'Saved photo') if cid in media else '')+'</article>'
    for cid,e in records.items():
        doc=doc_by_record[cid];docname=document_page(doc)
        basis=('Saved with this activity' if e['text_basis']=='dated_google_activity_title' else 'Browser saved title') if e['source'] in ['browser','google_takeout'] else ''
        if e.get('post_text_partial'):basis+=' · partial saved title'
        data={'id':cid,'html':rendered[cid],'time':readable_time(e),'other_sources':[c for c in dict.fromkeys(source_ids.get(cid,[])) if c!=cid],'date':e['time']['day'],'speaker':speaker(e),'basis':basis,'document':docname+'#'+cid,'conversation':doc['kind']=='conversation','reading_label':'Read full conversation' if doc['kind']=='conversation' else 'Read full note' if e['source'] in ['roam','apple_notes'] else 'Read full document','ranges':{name:rendered[cid+':'+name] for name in source_ranges.get(cid,{})}}
        put(dest/'data'/f'{cid}.json',json.dumps(data,ensure_ascii=False))
        target=dest/'records'/f'{cid}.json';target.parent.mkdir(exist_ok=True);shutil.copyfile(prepared/'records'/f'{cid}.json',target)
    for doc in documents:
        body='<h1>'+h(doc['title'])+'</h1>'
        body+=''.join(record_html(cid) for cid in doc['record_ids'])
        put(dest/document_page(doc),page(doc['title'],body))
    for c in contexts:
        data=load(prepared/c['source_json']);body='<h1>'+h(c['title'])+'</h1><p class="small">Earlier conversation</p>'
        for r in data['records']:
            cid='context-'+(r.get('message_id') or r['id']);body+=f'<article id="{h(cid)}" class="record"><div class="record-head">{h(r.get("occurred_at") or r.get("day") or "Time not supplied")} · {h(r.get("role") or "")}</div><div class="source-text">{rendered[cid]}</div></article>'
        put(dest/('context-'+c['conversation_id']+'.html'),page(c['title'],body))
    def cite(ids,key,text='',label=None,range_name=None):
        return f'<button class="{("source-link" if label else "cite")}" data-ids="{h(json.dumps(ids))}" data-quotes="{h(json.dumps(quotes(text)))}" data-panel="{h(key)}"'+(f' data-range="{h(range_name)}"' if range_name else '')+f' aria-expanded="false" aria-label="{h(label or "Read supporting sources")}">{h(label or ("↗" if key.startswith("event-") else key))}</button>'
    def selected(row):
        sources=[(cid,records[cid]) for cid in row['source_record_ids']]
        dated=[(cid,e) for cid,e in sources if e['text_basis']=='dated_google_activity_title']
        if dated:
            titles={re.sub(r'^Visited\s+','',e['text']) for cid,e in dated}
            if len(titles)>1:return None
            cid,e=next(((cid,e) for cid,e in dated if not e['text'].startswith('Visited ')),dated[0])
        else:cid,e=sources[0]
        url=e['url'] or row.get('url') or ''
        is_instagram=e['platform']=='Instagram'
        if e['source']=='browser' and not dated:
            route=urlsplit(url).path
            if not re.search(r'/status/\d+|/(?:p|reel)/[^/]+',route):return None
        text=e.get('post_text') or (e['text'] if is_instagram and not e['text'].startswith('http') else '')
        text=html.unescape(text)
        if not text.strip() or text.strip().lower() in ['instagram','instagram photos and videos','home / x','x','twitter']:return None
        return {'id':row['entry_id'],'cid':cid,'text':text,'author':e.get('post_author') or '','url':url,'partial':e.get('post_text_partial',False),'time':row['time'],'source_ids':row['source_record_ids'],'platform':e['platform']}
    def post_row(row):
        sel=selected(row);e=records[row['source_record_ids'][0]];url=(sel or {}).get('url') or row.get('url') or e['url'] or ''
        ids=row['source_record_ids'];key=row['entry_id']+'-full'
        title=(sel or {}).get('text') or row.get('url') or row.get('title') or e['event_kind']
        who=(sel or {}).get('author','');body=h(title)
        link=safe_url(url)
        if sel:body='“'+h(title)+'”'
        if link:body=f'<a class="original" href="{h(link)}" target="_blank" rel="noopener noreferrer">'+body+'</a>'
        if sel and sel['partial']:body+='<span class="partial" title="The saved post text is incomplete." aria-label="The saved post text is incomplete."> …</span>'
        if who:body='<strong>'+h(who)+'</strong> '+body
        time=clock(row['time']) if row['time'] else 'Untimed'
        return f'<li class="evidence-host" data-entry="{h(row["entry_id"])}"><div class="post"><time datetime="{h(row["time"])}">{h(time)}</time><div class="post-text">'+body+' '+cite(ids,key,'“'+title+'”',label=None)+'</div></div></li>'
    for g in groups:
        g['full'].sort(key=lambda r:(stamp(r['time']),records[r['source_record_ids'][0]]['source_order'],r['entry_id']))
    def session_html(g):
        label=g['platform']+' '+clock(g['start'])
        if g['start']!=g['end']:label+='–'+clock(g['end'])
        label+=f" · {len(g['full'])} records"
        return f'<section class="session" id="{h(g["id"])}"><h3>{h(label)}</h3><div class="session-preview"><ol class="records">'+''.join(post_row(r) for r in g['social'] if selected(r))+'</ol></div><details class="full-session"><summary>Show all</summary><ol class="records">'+''.join(post_row(r) for r in g['full'])+'</ol></details></section>'
    put(dest/'sessions.html',page('X and Instagram sessions','<h1>X and Instagram sessions</h1>'+(''.join(session_html(g) for g in groups) or '<p>No saved social sessions for this day.</p>')))
    if browser_rows: put(dest/'browser.html',page('All browser visits','<h1>All browser visits</h1><ol class="records" style="max-height:none">'+''.join(post_row(r) for r in browser_rows)+'</ol>'))
    library='<h1>Full documents</h1><ul class="simple-list">'+''.join('<li><a href="'+h(document_page(d))+'">'+h(d['title'])+'</a></li>' for d in documents)+'</ul>'
    if contexts:library+='<h2>Earlier conversations</h2><ul>'+''.join('<li><a href="context-'+c['conversation_id']+'.html">'+h(c['title'])+'</a></li>' for c in contexts)+'</ul>'
    put(dest/'documents.html',page('Full documents',library))
    story=''
    sessions_by_id={g['id']:g for g in groups}
    for n,block in enumerate(proposal['blocks'],1):
        if block.get('session'):
            session=sessions_by_id.get(block['session'])
            if session is None:
                warning='Session link '+block['session']+' was not found. Linking to all saved social sessions.'
                print(warning,file=sys.stderr)
                progress(warning)
                story+='<p>This session link could not be found. <a href="sessions.html">View all saved social sessions</a>.</p>'
            else:
                story+=session_html(session)
            continue
        body=block['html']
        if block['type']=='paragraph':body=body.replace('<p>', '<p class="story-p">', 1)
        for i,citation in enumerate(proposal['citations']):
            label=citation['label']
            button=cite(citation['citations'],f'{n}-{i}',text=block['text'],label='Source',range_name=citation.get('source_range'))
            button=button.replace('>Source</button>', '>'+label+'</button>')
            body=body.replace(f'<!--briefing-citation-{i}-->',button)
        for i,asset in enumerate(proposal['photos']):
            body=body.replace(f'<!--briefing-photo-{i}-->',photo(asset['id'],asset['caption']))
        story+=f'<div class="evidence-host" id="p{n}">'+body+'</div>'
    story+='<footer><a href="documents.html">Full documents</a></footer>'
    put(dest/'index.html',page(title,story))
    put(dest/'display-groups.json',json.dumps([{'id':g['id'],'parent':g['parent'],'platform':g['platform'],'start':g['start'],'end':g['end'],'full':[r['entry_id'] for r in g['full']]} for g in groups],indent=2))
    print(json.dumps({'output':str(out),'blocks':len(proposal['blocks']),'display_groups':len(groups),'source_records':len(records)}))


if __name__=='__main__':
    parser=argparse.ArgumentParser(description=__doc__)
    for name in ['prepared','briefing','out','marked']:parser.add_argument('--'+name,type=Path,required=True)
    args=parser.parse_args();build(args.prepared,args.briefing,args.out,args.marked)