ToolsReference fixture
Local pypdf and SQLite reference fixture
A synthetic born-digital PDF yielded one approved contact in a local SQLite table. Replay did not duplicate it, and a missing email routed to review.
- Type
- Reference workflow (author-run fixture)
- Publisher
- AgentsByTask
- Prerequisites
- Local Python with pypdf 6.14.2 and SQLite 3.49.1. The recipe uses no vendor account.
- Official links
Evidence
Each record keeps its own date and scope. Labels are independent: documentation does not imply a checked connection, and a connection does not imply a passed task.
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Reference fixture passed: 4 of 4 cases
No row before approval; one approved contact; replay left one row; a PDF without an email went to review and left the table unchanged.
Author-run local reference fixture. One synthetic born-digital PDF and an in-memory SQLite table. Not a vendor task pass.
- Task
- Turn a PDF into a CRM record
- Attributed to
- AgentsByTask
- Environment
- Local synthetic born-digital PDF and in-memory SQLite table. No vendor account. Python 3.13.3, pypdf 6.14.2, SQLite 3.49.1.
- Fixture
- pdf-to-crm-reference/1
- Verified by
- Independent SELECT of every row in the destination table after all cases
- Cases
- 4
- Verified completions
- 4
- Metered spend
- $0.00
- Cost per completion
- $0.00metered external spend ÷ 4 verified completions, this fixture only
- Receipt
- Evidence record · raw JSON
Listed for these tasks
| Task | Documented for this task | Unknowns | Why it is listed |
|---|---|---|---|
| Turn a PDF into a CRM record | Author-run reference: extraction, approval gate, upsert, replay and missing-input routing checked on one synthetic born-digital PDF. | Scanned PDFs, malformed email, ambiguous duplicates, an unavailable destination and every live CRM are outside the run. | Listed in the launch research catalog for this task. |
Published pricing
$0 metered external charges on this runUSD/local fixture checked Local compute and operator time excluded.
Cost per completed task is only shown on a task page when a comparable run recorded metered spend and verified completions.