/home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1213: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique.
  parser = self.make_parser(ctx)
/home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1206: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique.
  self.parse_args(ctx, args)
Using UID: 1000, GID: 1000
Forwarding environment variable OPENROUTER_API_KEY to container
Mounting local directory /home/llmeval/llmeval/runs/run_20251024_182503/task8_regex_extraction/openrouter-deepseek-deepseek-v3.1-terminus/workspace to /app
No project_name provided - skipping configuration directory setup.
Session created successfully!
Session ID: 4354bed6
Image: opencode
Executing command and waiting for completion...
Container will exit after command completes.
Command logs:
Initializing opencode v1.0.0
Setting up user 'cubbi' with UID: 1000, GID: 1000
Setting up standard directories
Created directory: /app
Created directory: /cubbi-config
Created directory: /cubbi-config/home
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Copied /root/.local/bin to user directory
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Updated OpenCode configuration at /home/cubbi/.config/opencode/config.json with 2 providers
No MCP servers to integrate
--- Executing initial command ---
Executing user command:
    if [ -f install.sh ]; then bash install.sh; fi;
    echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---";
    cd input && opencode run --print-logs < ../task.md

Executing as cubbi: sh -c
    if [ -f install.sh ]; then bash install.sh; fi;
    echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---";
    cd input && opencode run --print-logs < ../task.md

--- TASK BEGIN ---
You'll find a text file called `mixed_content.txt` in the `./input` directory containing various types of data mixed
together.

Extract ALL instances of the following patterns using regular expressions:

- Email addresses
- Phone numbers (various formats: (123) 456-7890, 123-456-7890, 123.456.7890)
- URLs (http and https)
- Dates (formats: YYYY-MM-DD, MM/DD/YYYY, DD-MM-YYYY)

Generate a JSON file called `extracted_data.json` with the following structure:

```json
{
  "emails": [
    "email1@example.com",
    "email2@example.com",
    ...
  ],
  "phone_numbers": [
    "(123) 456-7890",
    "123-456-7890",
    ...
  ],
  "urls": [
    "https://example.com",
    "http://example.org",
    ...
  ],
  "dates": [
    "2024-01-15",
    "01/15/2024",
    ...
  ]
}
```

Each array should contain the extracted values in the order they appear in the file. Duplicates should be included if
they appear multiple times.
--- TASK END ---
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[96m[1m| [0m[90m Read     [0mapp/input/mixed_content.txt
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[0m
I'll help you extract the patterns from the mixed_content.txt file. Let me start by reading the file to understand its content and then create the JSON file with the extracted data.
[0m
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Now I'll extract the patterns using regular expressions and create the JSON file. Let me write a Python script to extract the data:
[0m
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INFO  2025-10-24T19:06:41 +2ms service=bus type=lsp.client.diagnostics subscribing
INFO  2025-10-24T19:06:41 +12ms service=lsp.client serverID=pyright path=/app/input/extract_data.py textDocument/didOpen
INFO  2025-10-24T19:06:44 +2998ms service=bus type=lsp.client.diagnostics unsubscribing
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INFO  2025-10-24T19:06:44 +69ms service=bus type=message.part.updated publishing
[92m[1m| [0m[90m Write    [0mapp/input/extract_data.py
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INFO  2025-10-24T19:06:45 +54ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=start part
INFO  2025-10-24T19:06:46 +1120ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=start-step part
INFO  2025-10-24T19:06:46 +9ms service=bus type=message.part.updated publishing
INFO  2025-10-24T19:06:47 +508ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=tool-input-start part
INFO  2025-10-24T19:06:47 +169ms service=bus type=message.part.updated publishing
INFO  2025-10-24T19:06:47 +124ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=tool-input-delta part
INFO  2025-10-24T19:06:47 +43ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=tool-input-end part
INFO  2025-10-24T19:06:47 +4ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=tool-call part
INFO  2025-10-24T19:06:47 +6ms service=bus type=message.part.updated publishing
INFO  2025-10-24T19:06:47 +27ms service=bash-tool arg=/app/input resolved=/app/input resolved path
INFO  2025-10-24T19:06:47 +70ms service=bus type=message.part.updated publishing
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INFO  2025-10-24T19:06:48 +7ms service=bus type=message.part.updated publishing
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INFO  2025-10-24T19:06:48 +19ms service=bus type=message.part.updated publishing
[91m[1m| [0m[90m Bash     [0mcd /app/input && python extract_data.py

Data extraction completed successfully!

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INFO  2025-10-24T19:06:48 +44ms service=bus type=message.updated publishing
INFO  2025-10-24T19:06:49 +450ms service=bus type=message.updated publishing
INFO  2025-10-24T19:06:49 +87ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 process
INFO  2025-10-24T19:06:49 +23ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=start part
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INFO  2025-10-24T19:06:52 +6ms service=bus type=message.part.updated publishing
INFO  2025-10-24T19:06:52 +31ms service=file.time sessionID=ses_5e862a478ffeKZ1jplwcCTTsl2 file=/app/input/extracted_data.json read
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[96m[1m| [0m[90m Read     [0mapp/input/extracted_data.json
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INFO  2025-10-24T19:06:53 +5ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=start part
INFO  2025-10-24T19:06:53 +830ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=start-step part
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INFO  2025-10-24T19:06:56 +19ms service=bus type=message.part.updated publishing
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INFO  2025-10-24T19:06:57 +16ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 type=text-end part
INFO  2025-10-24T19:06:57 +34ms service=bus type=message.part.updated publishing
[0m
The extraction is complete! I've successfully extracted all the patterns from `mixed_content.txt` and created `extracted_data.json` with the requested structure. The JSON file contains:

- **10 email addresses** (including duplicates as they appear in the file)
- **8 phone numbers** in various formats
- **7 URLs** (both http and https)
- **12 dates** in YYYY-MM-DD, MM/DD/YYYY, and DD-MM-YYYY formats

All values are preserved in the order they appear in the original file, with duplicates included as requested.
[0m
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INFO  2025-10-24T19:06:57 +27ms service=session.compaction pruning
INFO  2025-10-24T19:06:57 +38ms service=session.lock sessionID=ses_5e862a478ffeKZ1jplwcCTTsl2 unlocked
INFO  2025-10-24T19:06:57 +5ms service=session.prompt session=ses_5e862a478ffeKZ1jplwcCTTsl2 sessionID=ses_5e862a478ffeKZ1jplwcCTTsl2 unlocking
INFO  2025-10-24T19:06:57 +1ms service=lsp.client serverID=pyright shutting down
INFO  2025-10-24T19:06:57 +77ms service=lsp.client serverID=pyright shutdown
INFO  2025-10-24T19:06:57 +212ms service=bus type=session.idle publishing
INFO  2025-10-24T19:06:58 +489ms service=session.compaction pruned=0 total=0 found
--- Initial command finished (exit code: 0) ---
--- no_shell=true, exiting container without starting shell ---
Command execution complete. Container has exited.
Session has been cleaned up.