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Author SHA256 Message Date
tlg
58b64c6d5f docs(projekt-matching): document poison-mail incident and fixes
Design doc: new §4.6 post-mortem (quote char -> guided-decoding
whitespace loop -> dead IMAP conn -> non-terminal mail), updated
module inventory, vLLM/e-mail experience sections, test counts
(51 -> 63) and the latency limitation (now bounded by max_tokens).
User manual: version note + troubleshooting row for repeating alerts.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 11:54:06 +02:00
tlg
36eac66abc fix(projekt-matching): break infinite alert loop (issue 2)
Root cause chain (evidence: 25+ failed traces on nproj/3022414):
straight quote in page text ends the guided-decoding JSON string
early -> grammar deadlock -> whitespace loop until context/token
limit -> chat_json fails 3x (~35 min) -> IMAP conn idles out ->
move_to_trash raises -> mail never trashed -> reprocessed forever.

- ingest/mailer: MailBox.ensure_alive() reconnect before finalize;
  move_to_trash failure falls back to flag_checked, run continues
- stages: page_text() feeds only div.content minus skill-tag cloud
  to the LLM and maps quote chars to apostrophes (the actual
  degeneration trigger, live-verified: extract now OK in 21 s)
- llm: requirements maxItems 40; max_tokens 8192 caps degenerate
  runs at ~100 s instead of ~10 min

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 10:33:52 +02:00
tlg
f40a5bb0f8 fix(projekt-matching): store outgoing mail copies in Sent via IMAP append 2026-07-14 09:38:12 +02:00
tlg
49aed3b243 Add user manual and design description for projekt-matching
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-09 20:19:56 +02:00
10 changed files with 865 additions and 14 deletions

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# Projekt-Matching — Design Description & Experiences
*Companion to the [user manual](projekt-matching-user-manual.md). Built
2026-07-09 via spec-driven, subagent-executed development; merged to `main`
as `72a3b17`. Approved spec:
`docs/superpowers/specs/2026-07-09-langflow-projekt-matching-design.md`;
implementation plan (with deviations preamble):
`docs/superpowers/plans/2026-07-09-langflow-projekt-matching.md`.
Updated 2026-07-14 after the poison-mail incident (§4.6, commit `36eac66`).*
---
## 1. Goal and constraints
Convert the interactive Claude skill `projekt-anlegen` (evaluate freelance
project postings against Dr.-Ing. Thomas Langer's CV, write results into
EspoCRM) into a fully automated Langflow workflow with these hard
constraints:
- **Local AI only** — vLLM endpoint on this host, model
`AxionML/Qwen3.5-9B-NVFP4`; no cloud LLM.
- **No human review pause** — the skill's mandatory chat review was replaced
by defaults (ambiguous offer type → `Projekt`, ambiguous buyer → agency)
and by after-the-fact quality monitoring in Langfuse.
- **Numbers are never LLM output** — match calculation, Misc rules
(start-date window, distance via Nominatim/Haversine, security-clearance
K.-o.) and the exact CRM description markdown are deterministic Python.
- **Gate:** Must-have-Match **> 85 %** (strictly greater) → CRM + mail;
otherwise reject silently (trace only).
- **Terminal-state rule:** every project ends in exactly one of
`created / rejected / duplicate / failed` on the **first** attempt; the
trigger mail then always moves to Trash; failures produce one aggregated
alert per trigger mail. No cross-cycle retries (only bounded in-run HTTP
retries) — deliberate protection against retry loops and inbox congestion.
- **Duplicate key:** canonical project URL (redirects followed, query
stripped) stored in and matched against `cProjektlink`.
## 2. Architecture
### 2.1 The central decision: logic in a package, Langflow as the runtime
All behavior lives in a plain-Python package **`projektmatch`** that is
unit-tested on the host (63 pytest tests) and copied unchanged into the
Langflow container. The seven Langflow custom components are ~30-line
wrappers that read configuration from Langflow global variables and call one
package function each. This kept the visual pipeline Langflow promises while
making every business rule testable without a running container — by far the
highest-leverage choice in the project: 8 of 16 plan tasks were pure TDD on
the package, and almost every live-integration bug was fixable by editing
tested package code and re-running one deploy script.
### 2.2 Runtime topology
```
systemd user timer (5 min) ── curl POST ──▶ /api/v1/webhook/pm-ingest
┌── Flow 1 "PM Ingest" ────────────────────────▼────────┐
│ Webhook → PMIngest → TextOutput │
│ PMIngest = ingest.run_ingest(): │
│ flock lock → IMAP poll (UNKEYWORD $ProjektChecked) │
│ → own-mail/non-project filter → split projects │
│ → canonical URL → CRM dedup → per NEW project: │
│ POST /api/v1/run/<flow2> (x-api-key) ───────────┼──┐
│ → aggregate → ONE alert mail on failures │ │
│ → move trigger mail to Trash → summary │ │
└───────────────────────────────────────────────────────┘ │
┌── Flow 2 "PM Projekt bewerten" ──────────────────────────▼┐
│ TextInput → PMFetch → PMExtract → PMMatch → PMRules │
│ → PMCrm → PMNotify → TextOutput │
│ ctx dict flows through; status ∈ ok/failed/rejected/ │
│ created; run_stage() catches exceptions into failed and │
│ short-circuits later stages; PMNotify runs UNCONDITIONALLY│
│ (sends mail only on created, posts Langfuse trace always) │
└───────────────────────────────────────────────────────────┘
```
Flow 1 is a single custom component rather than the spec sketch's three,
because IMAP connections and per-mail state cannot cross Langflow component
boundaries; `run_ingest()` is fully unit-tested instead. Flow 2 keeps the
six visible stages.
### 2.3 Module inventory
| Module | Responsibility |
|---|---|
| `rules.py` | Misc rules, half-up match calc, exact description markdown |
| `mailparse.py` | own-mail detection, project splitting (longest-anchor-title dedup by URL path), canonical URL |
| `espocrm.py` | CRM client: dedup searches, team lookup (never guessed), ensure-account/contact, unique naming, retries, `X-Status-Reason` surfacing |
| `llm.py` | vLLM calls (`response_format json_schema`, thinking disabled, `max_tokens` 8192), German prompts + JSON schemas (requirements capped at 40), retry-on-empty, match completeness retry |
| `mailer.py` | IMAP (custom keyword, Trash detection, MOVE+fallback, `ensure_alive()` reconnect), SMTP (STARTTLS, Date/Message-ID, Sent copy) |
| `stages.py` | Flow-2 stage functions + ctx state machine + CRM verify read-back; `page_text()` (project card minus tag cloud, quote sanitization) |
| `pm_trace.py` | one consolidated Langfuse trace per project via the ingestion API (never raises) |
| `ingest.py` | Flow-1 orchestration: lock, loop, dispatch, alert aggregation, trash with flag-checked fallback |
| `deploy/` | `deploy_files.sh` (rsync + safe restart), `build_flows.py` (variables, API key, programmatic flow construction), `setup_langfuse.py`, systemd units, webhook trigger |
| `tests/` | 63 unit tests + 5 e2e helper scripts |
### 2.4 Trust boundaries and secrets
IMAP/SMTP password and EspoCRM API key live in Langflow global variables
(encrypted in Postgres) and chmod-600 files under `~/.config/projekt-matching/`;
they never entered git (verified across all 31 commits in the final review).
Langfuse keys follow the pod script's pre-existing convention (tracked, local
loopback services only — an accepted, user-confirmed trade-off). The CV and
the CRM secrets file are owned by `tlg` and readable by `lwc` via
`setfacl -m u:lwc:r`.
## 3. Key design decisions and their rationale
1. **Canonical-URL dedup** (not name-based): deterministic, immune to title
edits; the same job at two agencies intentionally stays two opportunities.
2. **Delete-mail-always + alert** (revised mid-design from
"retry until success"): deterministic failures would otherwise loop every
5 minutes forever. The alert transfers responsibility to the human;
in-run HTTP retries (23 attempts) absorb transient blips.
3. **Deterministic scoring layer**: the LLM only classifies and rates;
Python computes. This survived the model's quality variance — when
ratings flickered, the numbers stayed honest and auditable.
4. **One custom Langfuse trace per project** (via the ingestion REST API, not
the SDK): stable contract, independent of Langflow's own auto-tracing,
filterable by outcome tags, and the object your annotation queue feeds on.
Posted *last* in `stage_notify`, unconditionally — even for failures.
5. **Programmatic flow construction** (`build_flows.py` assembles node/edge
JSON via `POST /api/v1/custom_component` templates): flows are
reproducible from git; the Langflow UI is never the source of truth.
6. **Everything idempotent**: variable upserts, flow delete-and-recreate,
API-key delete-and-recreate, file rsync — any deploy step can be re-run.
## 4. Experiences — what the plan got wrong and what we learned
The plan deliberately marked three "known unknowns" with verify-and-adapt
steps; live integration surfaced several more. Each item below is baked into
the code and worth knowing before touching the system.
### 4.1 vLLM / Qwen3.5 structured output
- **`guided_json` is silently ignored** by vLLM 0.22.1 — HTTP 200,
unconstrained prose output. The plan's guided_json-primary +
400-triggered-fallback design could therefore never fall back. Fixed by
using **`response_format {"type": "json_schema"}`** as the sole mechanism
(verified enforced: exact schema keys returned).
- **Reasoning + schema enforcement degenerate**: with the qwen3 reasoning
parser active, `json_schema` decoding sent the model into thinking loops
that consumed the full 63k context (`finish_reason: length`, empty
content). Root-cause fix: `chat_template_kwargs {"enable_thinking": false}`
for structured calls — extraction dropped from minutes/never to ~35 s.
A test locks this parameter in place.
- **Empty completions under load** still occur occasionally (shared GPU,
concurrent runs): `chat_json` retries empty/unparseable content up to 3×
with backoff; non-200 fails fast.
- **A straight `"` in the INPUT text breaks schema-guided decoding** (found
2026-07-14, §4.6): the model copies the quote verbatim into a JSON string
value, the grammar reads it as end-of-string, the model cannot continue
its sentence — and escapes into an **infinite whitespace loop** (whitespace
is always grammar-legal) until the token limit, `finish_reason: length`.
vLLM's request-level `structured_outputs.disable_any_whitespace` does NOT
help: the loop simply moves inside a string literal, where spaces are
legal. The robust fix is input-side: `stages.page_text()` maps all quote
characters (`„ “ ” " « » `) to `'` before prompting.
- The old belief "set max_tokens ≥ 1024 for reasoning models" first evolved
into "set no max_tokens at all and disable thinking where you enforce
schemas" — and then, after the whitespace-loop incident, into
**"cap max_tokens at 8192"**: every valid answer fits comfortably, and a
degenerate run now burns ~100 s instead of ~10 min before the retry.
### 4.2 Langflow 1.10 internals
- **`Component.ctx` is a reserved property** — a `DataInput(name="ctx")`
silently shadows the wired edge payload. All data inputs are named
`ctx_in`.
- **The custom-component loader resolves imports statically** — in-file
`sys.path.insert()` hacks don't work. First fix (a `.pth` file in the
container venv) turned out non-durable because the systemd `--new` unit
**recreates the container on every restart**, wiping ephemeral writes. The
durable fix bakes `PYTHONPATH=/app/langflow` into the container definition
in `create_pod_langflow.sh`.
- **Never `podman restart` a systemd-managed `--rm/--new` container** — it
can end up removed with the unit inactive. Always
`systemctl --user restart container-langflow_ctr.service`
(`deploy_files.sh` does this and waits for health).
- Webhook lives in the `input_output` category of `GET /api/v1/all` (not
`data`); `Data` outputs wire as type `JSON`; edge handles use the
`œ`-escaped JSON encoding. `build_flows.py` derives types from live
templates instead of hardcoding — the plan's explicit "verify against a
dumped existing flow first" step paid off.
- `POST /api/v1/api_key` accumulates same-named keys; the builder now
deletes existing `projekt-matching` keys before minting (list shape:
`{"api_keys": [...]}`).
- **`podman logs langflow_ctr` is useless** (a structlog recursion loop
floods it); the monitor/builds API is the working observability path.
- Auth split (from earlier experiments, confirmed): flow CRUD/variables need
the Bearer JWT from `/api/v1/auto_login`; `run` and webhook need
`x-api-key`; responses are gzip (`curl --compressed`).
- Global variables with `load_from_db=True` resolve **at run time** — the
Gate-3 recipient flip needed no restart.
### 4.3 Langfuse 3.195 (OSS)
- The **Organization Management API is EE-gated** (routes exist, return 403).
`setup_langfuse.py` falls back to a NextAuth session + tRPC calls to create
org/project/keys — fragile by nature, acceptable for one-shot setup, kept
behind an admin-API-first attempt.
- Score configs can be created via the public API with project keys;
**annotation queues are UI-only** (manual step, done).
- Score-config creation is not idempotent (archive-only API) — documented in
the script.
### 4.4 E-mail
- Outgoing `EmailMessage`s **need explicit `Date` and `Message-ID` headers**;
without them clients display 01/01/1970 (user-reported, fixed, and the fix
had to wait for a container restart — a long-lived process keeps the old
module in memory).
- The mail server (Dovecot) supports custom IMAP keywords (`PERMANENTFLAGS \*`)
and UID MOVE; the Trash folder is literally `Trash`. The `$ProjektChecked`
keyword implements "inspect non-project mail exactly once, touch nothing".
- A malformed FETCH must not kill the poll loop: hardened so an unreadable
mail is flagged and skipped (`summary.unreadable`), the connection is
closed in `finally` — otherwise one poison mail would silently stall the
pipeline every 5 minutes with no alert.
- **The IMAP server drops idle connections** during long Flow-2 dispatches
(30+ min in the degenerate case, §4.6). `run_ingest` therefore calls
`MailBox.ensure_alive()` (NOOP probe + transparent reconnect) before the
per-mail finalization, and a failing `move_to_trash` falls back to
`flag_checked` (`summary.trashFailed`) so the run continues — the
terminal-state rule survives a dead connection.
### 4.5 Prompt engineering for a 9B model
The extraction/matching prompts embed the skill's German calibration rules
verbatim (strictness: PoC ≠ production, "mehrjährig" literal, "wie z. B."
alternatives count). Two tuning iterations were needed against the reference
project (skill result: 86 % Must):
- **Signal words must bind to their own line only** — trailing unmarked lines
after a "von Vorteil" line were bleeding into Nice; as Must the reference
computes 18✅+3❌ of 21 = 85.71 → 86, exactly reproducing the skill.
- …with an **explicit exception for a literal "Nice-to-haves" heading**
(heading precedence stays above line-level signals) — added after review
caught the over-generalization.
- Residual variance: Must-match stable (86 in all post-fix runs); Nice-match
flips a few points run-to-run; Misc rows occasionally missing. The
deterministic layer plus the >85 gate make this tolerable; the annotation
queue exists to watch it.
### 4.6 Post-launch incident: the poison-mail loop (2026-07-13/14)
Four days after go-live the pipeline stalled for ~26 hours on one mail,
sending an identical `[Projekt-Match-Fehler]` alert every ~35 minutes. The
failure chain — each link necessary, none sufficient alone — is instructive:
1. **Trigger:** one posting (`nproj/3022414`) contained
`„ISTQB Certified Tester …"` — a typographic opening quote closed by a
straight ASCII `"`. Copied verbatim into a JSON string by the model, the
`"` ended the string for the guided-decoding grammar mid-sentence; the
model escaped into the whitespace loop (§4.1) and burned the full context
on every attempt (~10 min × 3 retries ≈ 35 min per cycle).
2. **Timeout mismatch:** the ingest dispatch timeout (1800 s) fired before
Flow 2 finished, producing a premature `Read timed out` failure.
3. **Trap:** during the long wait the IMAP connection idled out server-side.
The alert still went out (fresh SMTP connection), but `move_to_trash` on
the dead connection raised and aborted `run_ingest` **before** the mail
reached its terminal state — so the next tick reprocessed the same mail,
forever. 66 mails queued up behind it.
Fix (commit `36eac66`, TDD, live-verified): quote sanitization + feeding only
the project card minus the skill-tag cloud to the LLM (`page_text()`),
`maxItems: 40` on the requirements schema, `max_tokens: 8192`, and the
finalization hardening from §4.4. The poison extraction went from 25+
consecutive failures to a clean 19-requirement result in 21 s; the backlog
(67 mails) drained in 36 minutes with zero failure alerts and 9 new
opportunities.
Lessons: **terminal-state guarantees must hold on every path, including
"connection died mid-run"** — the guarantee is only as strong as its weakest
finalization step; and **schema-guided decoding turns bad input characters
into decoding pathologies**, so sanitize model input against the output
grammar, not just for size.
### 4.7 Process experiences
- **Subagent-driven development with per-task adversarial review** caught
real defects at every altitude: committed build artifacts, undeclared
dependencies, a read-back that verified presence instead of equality,
alert-send blocking the trash guarantee, the prompt over-generalization.
Two verification-only gates were audited as *evidence* (timestamps, IDs,
counts, alternative explanations) rather than trusted — one audit forced a
trace-level proof that an unexpected notification during Gate 2 was
genuine production traffic (it was: a real project, Must 100 %, evaluated
and filed while we were testing).
- **Live systems interleave with tests.** Real project mails arrived and
were processed during every e2e window. Distinguishing test artifacts from
production artifacts by canonical-URL tokens — and writing that discipline
into the helper scripts — was essential.
- The **progress ledger** (`.superpowers/sdd/progress.md`, git-ignored)
carried environment facts between tasks; most of its content graduated
into this document and the memory notes.
## 5. Verification summary
- **63 unit tests** (pure package, no network); TDD throughout (51 at
go-live, +1 Sent-copy fix, +11 poison-mail fix).
- **Component gates:** Flow 2 driven directly via API — consider project
stable at 86 % across repeated runs with full CRM field verification
(team, agency linking, contact, description byte-format); reject project
at 0 %, no writes.
- **Gate 1 (e2e consider):** re-sent original example-1 mail (5 projects) →
timer → project 4 created (86 %), notification with valid Date, trigger
mail in Trash, 5 traces (1 created / 4 rejected), zero unwanted entries.
- **Gate 2 (e2e reject):** example-2 mail → full table in trace, Must 0 %,
no CRM entry, no mail, mail in Trash.
- **Dedup:** re-sent Gate-1 mail → ingest summary
`{projects: 5, created: 0, rejected: 4, duplicate: 1}`, notification count
unchanged, no ` (2)` entry.
- **Gate 3 (production recipient):** variables flipped live (no restart),
opportunity re-created at 86 %, no mail in the design-phase inbox, SMTP
acceptance proven via trace error-absence, **receipt at
Thomas.Langer@destengs.com confirmed by Thomas**.
## 6. Known limitations & future work
- freelancermap-only detection (extension point: `mailparse.PROJECT_URL_RE`
+ splitting logic).
- Login-walled postings fail with an alert by design (no snippet fallback).
- Created-but-notification-failed edge case is recorded in the trace, not
re-sent (spec-accepted).
- Worst-case in-run LLM latency is bounded since `36eac66`
(`max_tokens: 8192` → a fully degenerate extraction costs ~100 s × 3
retries ≈ 6 min, comfortably below the 1800 s dispatch timeout). Should
the timeout ever fire anyway, the ingest side alerts while Flow 2 may
still finish server-side; dedup prevents damage, and the finalization
fallback (§4.4) keeps the trigger mail terminal.
- `parse_run_result` anchors on "any embedded JSON with a `status` key" —
robust today, but a Langflow upgrade that serializes intermediate ctx
objects into the run response would need a stricter anchor.
- niceMatch variance / Misc extraction variance: monitor via the
`projekt-matching-review` annotation queue; if quality drifts, tuning
lives in `llm.py`'s prompts and is regression-tested by
`tests/e2e/run_flow2.py` against the two reference projects.
## 7. Restore from a fresh clone (runbook)
1. `bash create_pod_langflow.sh` — pod, DBs, Langflow, Langfuse (bootstrap
admin + tracing keys baked in).
2. Ensure ACLs: `setfacl -m u:lwc:r` on the CV and
`.secrets/espocrm-api.md` (as `tlg`); create
`~/.config/projekt-matching/secrets.env` (0600) with `PM_IMAP_PASSWORD`.
3. `projekt-matching/deploy/deploy_files.sh` — package + vorgaben into the
data dir.
4. `set -a; source projekt-matching/deploy/secrets.local.env; set +a` then
`.venv/bin/python projekt-matching/deploy/build_flows.py` — variables,
API key, both flows, `~/.config/projekt-matching/env`.
5. `.venv/bin/python projekt-matching/deploy/setup_langfuse.py` — org,
project, keys, score configs (annotation queue: manual UI step); wire the
printed keys into the pod script and rerun it.
6. `cp projekt-matching/deploy/projekt-matching.{service,timer} ~/.config/systemd/user/`
then `systemctl --user daemon-reload && systemctl --user enable --now projekt-matching.timer`.
7. Optional clean start: `.venv/bin/python projekt-matching/tests/e2e/flag_inbox.py`
to baseline the current INBOX before the first tick.

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# Projekt-Matching — User Manual
*The automated pipeline that turns freelancermap project e-mails into evaluated
EspoCRM opportunities. Version of 2026-07-09 (all acceptance gates passed);
updated 2026-07-14 (robustness fixes: alert-loop bug resolved, outgoing mails
now also appear in the Sent folder).*
---
## 1. What the system does
Every 5 minutes, the system checks the mailbox `chancen@destengs.com` for new
e-mails containing freelancermap project descriptions. For every project it
finds, it:
1. resolves the project's canonical URL and checks whether it already exists
in the CRM (if yes: nothing happens — no duplicates),
2. fetches the full project description from freelancermap,
3. lets the **local AI** (vLLM, `AxionML/Qwen3.5-9B-NVFP4` — nothing leaves
your machine) extract the requirements and classify them as
**Must / Nice / Misc**,
4. lets the AI rate every Must/Nice requirement against your CV
(✅ covered / ❌ not covered / ❔ partial evidence),
5. computes the match values **deterministically in Python** (the AI never
invents the numbers): ✅ = 100, ❔ = 25, ❌ = 0, averaged per category,
6. decides: **Must-have-Match > 85 %** → the project is *considered*;
otherwise it is *rejected*,
7. for considered projects: creates the company (Account), contact person
(Contact) and the opportunity in EspoCRM — with the same description table
the old Claude skill produced — and sends you a notification e-mail,
8. records every project evaluation as a trace in Langfuse for your review,
9. moves the processed trigger e-mail to the server's **Trash** folder.
```
e-mail arrives every 5 min (systemd timer)
│ │
▼ ▼
INBOX (chancen@) ◀──── poll ──── Langflow "PM Ingest"
│ │ per project:
│ non-project mail: ▼
│ left untouched Langflow "PM Projekt bewerten"
│ fetch → AI extract → AI match CV
│ → deterministic match calc
▼ → gate: Must > 85 %?
processed mail │yes │no
→ Trash ▼ ▼
EspoCRM entry (nothing;
+ notification trace only)
e-mail
Langfuse trace (always)
```
## 2. What you receive
### Notification (a project matched)
- **To:** `Thomas.Langer@destengs.com`
- **Subject:** `[Projekt-Match] Freelancermap — <Must> % — <Projektname>`
- **Body:** both match values and the direct link to the CRM opportunity
(`https://crm.creature-go.com/#Opportunity/view/<id>`).
### Alert (something went wrong)
- **To:** `Thomas.Langer@destengs.com`
- **Subject:** `[Projekt-Match-Fehler] Freelancermap — <n> Projekt(e)`
- **Body:** one entry per failed project with title, URL and the error reason.
**Important:** a failed project is **not retried**. The alert e-mail is your
record — if the project matters, evaluate it manually (the URL is in the
alert). This is deliberate: it prevents endless retry loops and inbox
congestion.
### What you will NOT see
- Rejected projects produce no e-mail and no CRM entry. Their full evaluation
(table + match values) is in the Langfuse trace.
- Non-project e-mails in the inbox are inspected once, invisibly marked with
an IMAP keyword (`$ProjektChecked`), and left untouched forever after.
- The system never processes its own notification/alert mails (recognized by
the subject prefix).
## 3. The CRM entry
Considered projects get the full structure the Claude skill used to create:
| Element | Rule |
|---|---|
| Opportunity name | project title; duplicate names get ` (2)`, ` (3)` … |
| Description | exact skill format: match line + `\| Nr. \| Kat. \| ❔ \| Anforderung \|` table, Must → Nice → Misc |
| cProjektlink | canonical project URL (also the duplicate-detection key) |
| Team | Projekt → `DesTEngS` · Arbeitnehmer-Angebot → `Arbeitnehmer` · ANÜ → `ANÜ` |
| Account | deduplicated by name; agency → `Reseller` + linked via *Über Agentur* (`cAccount1`), direct client → `Customer` + linked via `account` |
| Contact | created and linked when the posting names a person and a company |
Ambiguities the skill used to ask you about are resolved by defaults:
unclear offer type → `Projekt`; unclear buyer type → agency.
## 4. Reviewing quality in Langfuse
Open **http://127.0.0.1:8091** (login `admin@example.com` /
`langfuse-admin-pw` unless you changed it), project **projekt-matching**.
- Every evaluated project is one trace named **`projekt-match`**, tagged with
its outcome (`created` / `rejected` / `failed`). The trace shows the
canonical URL, the full requirements table, both match values and — for
created projects — the CRM link.
- **Your evaluation workflow:** open the annotation queue
**`projekt-matching-review`** and score each trace on the two dimensions:
- `extraction-correct` — were Must/Nice/Misc correctly derived from the
posting? (correct / partially-correct / wrong)
- `matching-correct` — are the ✅/❌/❔ ratings against your CV right?
- The scores are your quality record. Nothing acts on them automatically —
they tell you whether the local 9B model stays good enough over time.
Langflow's own execution traces (component level, LLM prompts/outputs) land
in the same project and are useful for debugging.
## 5. Everyday operations
All commands run as user `lwc` on this host.
### Is it running?
```bash
systemctl --user list-timers | grep projekt-matching # next/last tick
curl -s http://127.0.0.1:8090/health # Langflow: {"status":"ok"}
journalctl --user -u projekt-matching.service -n 5 # last trigger output
```
To see what recent runs did, use the Langfuse traces (section 4). Do **not**
use `podman logs langflow_ctr` — it is flooded by a known harmless logging
loop and tells you nothing.
### Pause / resume the automation
```bash
systemctl --user stop projekt-matching.timer # pause (mail queues up safely in INBOX)
systemctl --user start projekt-matching.timer # resume; next tick processes the backlog
```
### Restart Langflow (e.g. after a hang)
```bash
systemctl --user restart container-langflow_ctr.service
```
**Never** use `podman restart langflow_ctr` — with the systemd-managed
container this can leave the container removed and the pipeline dead.
### Update your CV or the Rahmenbedingungen
Edit the originals in `/home/tlg/mkt/bewerb/vorgaben/`, then:
```bash
/home/lwc/bin/projekt-matching/deploy/deploy_files.sh
```
The script copies the files, redeploys the code, restarts Langflow safely and
waits until it is healthy again (≈ 1 minute).
### Change the notification recipient or the 85 % threshold
Both live in Langflow **global variables** (UI: http://127.0.0.1:8090 →
Settings → Global Variables, or via API):
`PM_NOTIFY_TO`, `PM_ALERT_TO`, `PM_THRESHOLD` (also: `PM_VLLM_BASE`,
`PM_VLLM_MODEL`, `PM_ESPO_BASE`). Changes take effect on the next run — no
restart needed.
### After a reboot
Everything is systemd-managed and starts automatically (`pod-langflow_pod`
for the services, `projekt-matching.timer` for the polling). Nothing to do.
## 6. Troubleshooting
| Symptom | Likely cause / what to do |
|---|---|
| No mails processed, INBOX grows | `systemctl --user list-timers` — timer active? Langflow healthy (`curl …/health`)? Restart per section 5. Mails are never lost: the next successful tick processes the backlog. |
| Alert mail: `Abruf fehlgeschlagen` / `Seitentext zu kurz` | freelancermap page unreachable or behind a login wall. Evaluate that project manually via the URL in the alert. |
| Alert mail: `vLLM HTTP …` / `LLM lieferte kein JSON` / `Read timed out` | the local AI was down or overloaded. Occasional single failures are absorbed by built-in retries; if alerts pile up, check the vLLM service on port 8081. |
| The **same** alert arrives again and again for the same project | this was a bug (fixed 2026-07-14): one poisonous posting could block the pipeline and repeat its alert every ~35 min. A failed project is now reliably final — if you ever see identical repeating alerts again, restart Langflow (section 5) and report it. |
| Alert mail: `Team … nicht gefunden` | the CRM user `cowork-api` lost read access to Teams, or a team was renamed. Fix in EspoCRM admin. |
| A project you expected is missing | check Langfuse: if its trace says `rejected`, the Must-match was ≤ 85 % — the table shows why. If there is no trace at all, check the alert mails. |
| Duplicate opportunity suspected | duplicates are keyed on the canonical URL (`cProjektlink`). The same project posted by two different agencies has two different URLs and is intentionally kept as two opportunities. |
| Everything looks dead after an experiment | `systemctl --user start container-langflow_ctr.service`, then check health. |
## 7. Test utilities (use with care)
In `/home/lwc/bin/projekt-matching/tests/e2e/` (run with the project venv,
secrets sourced: `set -a && source deploy/secrets.local.env && set +a`):
- `check_state.py [token]` — shows CRM hits for a URL token plus the last
INBOX/Trash subjects. Safe, read-only.
- `run_flow2.py <canonical-url> <title>` — evaluates one project directly
(bypasses e-mail). Writes to the CRM if it matches!
- `send_test_mail.py "<subject>" [fallback-url]` — re-sends a stored example
mail to yourself to trigger the full pipeline.
- `cleanup_crm.py [tokens…]`**deletes** opportunities whose cProjektlink
matches the tokens. Default tokens are the two historical test projects.
Never run it with a token that matches real opportunities.
- `flag_inbox.py` — marks every current INBOX mail as "already checked"
(used once at go-live; rarely needed again).
## 8. Where things live
| What | Where |
|---|---|
| Code + tests | `/home/lwc/bin/projekt-matching/` (git) |
| Flows (source of truth) | built by `deploy/build_flows.py` into Langflow ("PM Ingest", "PM Projekt bewerten") |
| Deployed runtime copy | `~/.local/share/langflow_pod/langflow-data/` (`/app/langflow` in-container) |
| Secrets | `~/.config/projekt-matching/` (0600) + Langflow global variables (encrypted); EspoCRM key sourced from `/home/tlg/mkt/bewerb/.secrets/espocrm-api.md` |
| systemd units | `~/.config/systemd/user/projekt-matching.{service,timer}` |
| Services | Langflow http://127.0.0.1:8090 · Langfuse http://127.0.0.1:8091 · vLLM http://127.0.0.1:8081 · pod script `/home/lwc/bin/create_pod_langflow.sh` |
| Design details | `docs/projekt-matching-design.md`, spec/plan under `docs/superpowers/` |
## 9. Known limitations
- **freelancermap only.** Mails from other portals are ignored (left in the
inbox untouched). Extending detection is a small code change in
`projektmatch/mailparse.py`.
- **Login-protected postings fail** with an alert (no page text, no snippet
fallback — a snippet cannot support honest matching).
- **Nice-to-have-Match varies a few points** between runs of the same project
(single ❔/✅ flips by the 9B model). The Must-match — the gate — has been
stable in all verification runs. Watch this in the annotation queue.
- **Rare edge case:** if the CRM write succeeds but the notification mail
fails to send, the opportunity exists but no mail arrives and none is
re-sent. The Langfuse trace records it (`error: notify: …`).
- Misc rows (start date, workload, …) are occasionally missing from the
extraction; they never influence the match values.

View File

@@ -119,6 +119,10 @@ def run_ingest(cfg, mailbox=None, dispatch=None, espo=None, resolve=None):
or f"unbekannter Status: {result.get('status')!r}") or f"unbekannter Status: {result.get('status')!r}")
results.append(result) results.append(result)
summary[result["status"]] += 1 summary[result["status"]] += 1
try:
box.ensure_alive() # Flow-2-Dispatches können >30 min dauern — Server-Idle-Timeout
except Exception: # noqa: BLE001
pass # Alert/Trash unten haben eigene Fallbacks
failed = [r for r in results if r["status"] == "failed"] failed = [r for r in results if r["status"] == "failed"]
if failed: if failed:
lines = "\n\n".join( lines = "\n\n".join(
@@ -134,7 +138,14 @@ def run_ingest(cfg, mailbox=None, dispatch=None, espo=None, resolve=None):
"werden:\n\n" + lines + "\n") "werden:\n\n" + lines + "\n")
except Exception: # noqa: BLE001 except Exception: # noqa: BLE001
summary["alertFailed"] = summary.get("alertFailed", 0) + 1 summary["alertFailed"] = summary.get("alertFailed", 0) + 1
try:
box.move_to_trash(uid) box.move_to_trash(uid)
except Exception: # noqa: BLE001
summary["trashFailed"] = summary.get("trashFailed", 0) + 1
try:
box.flag_checked(uid) # nie erneut verarbeiten — Terminal-Zustand
except Exception: # noqa: BLE001
pass # nächster Lauf räumt auf
return summary return summary
finally: finally:
box.close() box.close()

View File

@@ -1,7 +1,9 @@
"""vLLM (OpenAI-compatible) calls with response_format json_schema + German prompts. """vLLM (OpenAI-compatible) calls with response_format json_schema + German prompts.
max_tokens stays UNSET so nothing can truncate the final answer (65k max_tokens is capped at 8192: every valid answer fits comfortably, and an
context window). Thinking is DISABLED via chat_template_kwargs: with the uncapped run lets a degenerate generation grind for ~10 min before failing
(observed live: 100+-requirement JSON, broken at ~char 1725, 3 retries =
~35 min per cycle). Thinking is DISABLED via chat_template_kwargs: with the
vLLM qwen3 reasoning parser active, json_schema guided decoding plus vLLM qwen3 reasoning parser active, json_schema guided decoding plus
thinking degenerates — the run burns the entire context window thinking degenerates — the run burns the entire context window
(finish_reason "length", ~63k completion tokens) and returns empty or (finish_reason "length", ~63k completion tokens) and returns empty or
@@ -34,6 +36,7 @@ EXTRACT_SCHEMA = {
"contactPerson": {"type": ["string", "null"]}, "contactPerson": {"type": ["string", "null"]},
"requirements": { "requirements": {
"type": "array", "type": "array",
"maxItems": 40,
"items": { "items": {
"type": "object", "type": "object",
"properties": { "properties": {
@@ -139,6 +142,7 @@ z. B. vLLM, TGI, Triton" ab).
def _post(base, model, messages, schema): def _post(base, model, messages, schema):
body = {"model": model, "messages": messages, "temperature": 0.1, body = {"model": model, "messages": messages, "temperature": 0.1,
"max_tokens": 8192,
"chat_template_kwargs": {"enable_thinking": False}, "chat_template_kwargs": {"enable_thinking": False},
"response_format": {"type": "json_schema", "json_schema": { "response_format": {"type": "json_schema", "json_schema": {
"name": "out", "schema": schema}}} "name": "out", "schema": schema}}}

View File

@@ -16,12 +16,31 @@ KEYWORD = "$ProjektChecked"
class MailBox: class MailBox:
def __init__(self, user, password, conn=None): def __init__(self, user, password, conn=None):
self.conn = conn or imaplib.IMAP4_SSL(IMAP_HOST, IMAP_PORT) self.user, self.password = user, password
if conn is None: self.conn = conn or self._connect()
self.conn.login(user, password)
self.conn.select("INBOX") self.conn.select("INBOX")
self._trash = None self._trash = None
def _connect(self):
conn = imaplib.IMAP4_SSL(IMAP_HOST, IMAP_PORT)
conn.login(self.user, self.password)
return conn
def ensure_alive(self):
"""Reconnect if the server dropped the connection (idle timeout)."""
try:
typ, _ = self.conn.noop()
if typ == "OK":
return
except Exception: # noqa: BLE001
pass
try:
self.conn.logout()
except Exception: # noqa: BLE001
pass
self.conn = self._connect()
self.conn.select("INBOX")
def unchecked_uids(self): def unchecked_uids(self):
typ, data = self.conn.uid("SEARCH", None, f"UNKEYWORD {KEYWORD}") typ, data = self.conn.uid("SEARCH", None, f"UNKEYWORD {KEYWORD}")
if typ != "OK" or not data or not data[0]: if typ != "OK" or not data or not data[0]:
@@ -71,6 +90,39 @@ class MailBox:
pass pass
def _sent_folder(conn):
"""Find the server's Sent folder via special-use flag, fallback names."""
typ, data = conn.list()
candidates = []
for raw in data or []:
line = raw.decode() if isinstance(raw, bytes) else str(raw)
name = line.rsplit(" ", 1)[-1].strip('"')
if "\\Sent" in line.split(")")[0]:
return name
candidates.append(name)
for cand in ("Sent", "INBOX.Sent"):
if cand in candidates:
return cand
return "Sent"
def append_sent(user, password, msg, conn=None):
"""Store a copy of an outgoing message in the Sent folder (best effort)."""
own = conn is None
conn = conn or imaplib.IMAP4_SSL(IMAP_HOST, IMAP_PORT)
try:
if own:
conn.login(user, password)
folder = _sent_folder(conn)
conn.append(folder, "(\\Seen)", None, msg.as_bytes())
finally:
if own:
try:
conn.logout()
except Exception:
pass
def send_mail(user, password, to, subject, body): def send_mail(user, password, to, subject, body):
msg = EmailMessage() msg = EmailMessage()
msg["From"], msg["To"], msg["Subject"] = user, to, subject msg["From"], msg["To"], msg["Subject"] = user, to, subject
@@ -81,3 +133,7 @@ def send_mail(user, password, to, subject, body):
server.starttls(context=ssl.create_default_context()) server.starttls(context=ssl.create_default_context())
server.login(user, password) server.login(user, password)
server.send_message(msg) server.send_message(msg)
try:
append_sent(user, password, msg)
except Exception: # noqa: BLE001 — copy is best effort; the mail went out
pass

View File

@@ -20,6 +20,7 @@ TEAM_BY_OFFER = {"Projekt": "DesTEngS",
"Arbeitnehmer-Angebot": "Arbeitnehmer", "Arbeitnehmer-Angebot": "Arbeitnehmer",
"ANÜ": "ANÜ"} "ANÜ": "ANÜ"}
MIN_PAGE_CHARS = 200 MIN_PAGE_CHARS = 200
QUOTES = str.maketrans({c: "'" for c in "„“”\"«»‹›"})
def run_stage(name, fn, ctx, cfg, **kw): def run_stage(name, fn, ctx, cfg, **kw):
@@ -32,6 +33,25 @@ def run_stage(name, fn, ctx, cfg, **kw):
return ctx return ctx
def page_text(html):
"""Project text for the LLM: header + description, WITHOUT the skill-tag
cloud (div.project-body-badges, ~100 entries on some pages — blows the
requirements list up until the model emits broken JSON) and without
site chrome. Falls back to whole-page text if div.content is missing."""
soup = BeautifulSoup(html, "html.parser")
for tag in soup(["script", "style", "noscript"]):
tag.decompose()
root = soup.find("div", class_="content") or soup
for tag in root.find_all(class_="project-body-badges"):
tag.decompose()
# Anführungszeichen -> Apostroph: ein wörtlich übernommenes " beendet den
# JSON-String vorzeitig und treibt guided decoding in eine Whitespace-
# Endlosschleife (finish_reason "length", live verifiziert an nproj/3022414)
return "\n".join(line for line in
root.get_text("\n", strip=True).splitlines()
if line.strip()).translate(QUOTES)
def stage_fetch(ctx, cfg): def stage_fetch(ctx, cfg):
last = None last = None
for attempt in range(3): for attempt in range(3):
@@ -39,12 +59,7 @@ def stage_fetch(ctx, cfg):
resp = requests.get(ctx["canonical"], timeout=30, resp = requests.get(ctx["canonical"], timeout=30,
headers={"User-Agent": BROWSER_UA}) headers={"User-Agent": BROWSER_UA})
resp.raise_for_status() resp.raise_for_status()
soup = BeautifulSoup(resp.text, "html.parser") text = page_text(resp.text)
for tag in soup(["script", "style", "noscript"]):
tag.decompose()
text = "\n".join(line for line in
soup.get_text("\n", strip=True).splitlines()
if line.strip())
if len(text) < MIN_PAGE_CHARS: if len(text) < MIN_PAGE_CHARS:
raise ValueError( raise ValueError(
f"Seitentext zu kurz ({len(text)} Zeichen) — " f"Seitentext zu kurz ({len(text)} Zeichen) — "

View File

@@ -156,6 +156,63 @@ def test_close_called_even_if_unchecked_uids_raises(tmp_path):
box.close.assert_called_once() box.close.assert_called_once()
def test_ensure_alive_called_before_finalize(tmp_path):
mails = {"1": mail("Mail", PROJECT_HTML)}
summary, box, sent = run(tmp_path, mails,
dispatch_result={"status": "failed",
"error": "Read timed out"})
names = [c[0] for c in box.method_calls]
assert "ensure_alive" in names
assert names.index("ensure_alive") < names.index("move_to_trash")
box.move_to_trash.assert_called_once_with("1")
assert len(sent) == 1
def test_trash_failure_falls_back_to_flag_and_continues(tmp_path):
mails = {"1": mail("Mail A", PROJECT_HTML),
"2": mail("Mail B", PROJECT_HTML)}
box = mock.Mock()
box.unchecked_uids.return_value = ["1", "2"]
box.fetch.side_effect = lambda uid: mails[uid]
box.move_to_trash.side_effect = [OSError("socket error: EOF"), None]
espo = mock.Mock()
espo.find_opportunity_by_link.return_value = None
with mock.patch("projektmatch.ingest.mailparse.bodies",
side_effect=lambda m: (m["html"], "")), \
mock.patch("projektmatch.ingest.mailer.send_mail", lambda *a: None):
summary = ingest.run_ingest(
cfg(tmp_path), mailbox=box, espo=espo,
resolve=lambda url: "https://www.freelancermap.de/projekt/eins",
dispatch=lambda item: {"status": "created"})
assert summary["trashFailed"] == 1
assert summary["created"] == 2
box.flag_checked.assert_called_once_with("1")
assert box.move_to_trash.call_count == 2
def test_dead_connection_everywhere_still_finishes_run(tmp_path):
mails = {"1": mail("Mail A", PROJECT_HTML),
"2": mail("Mail B", PROJECT_HTML)}
box = mock.Mock()
box.unchecked_uids.return_value = ["1", "2"]
box.fetch.side_effect = lambda uid: mails[uid]
box.ensure_alive.side_effect = OSError("server unreachable")
box.move_to_trash.side_effect = OSError("socket error: EOF")
box.flag_checked.side_effect = OSError("socket error: EOF")
espo = mock.Mock()
espo.find_opportunity_by_link.return_value = None
with mock.patch("projektmatch.ingest.mailparse.bodies",
side_effect=lambda m: (m["html"], "")), \
mock.patch("projektmatch.ingest.mailer.send_mail", lambda *a: None):
summary = ingest.run_ingest(
cfg(tmp_path), mailbox=box, espo=espo,
resolve=lambda url: "https://www.freelancermap.de/projekt/eins",
dispatch=lambda item: {"status": "created"})
assert summary["trashFailed"] == 2
assert summary["created"] == 2
box.close.assert_called_once()
def test_parse_run_result_finds_status_json(): def test_parse_run_result_finds_status_json():
inner = json.dumps({"status": "created", "mustMatch": 90}) inner = json.dumps({"status": "created", "mustMatch": 90})
payload = {"outputs": [{"outputs": [{"results": {"text": { payload = {"outputs": [{"outputs": [{"results": {"text": {

View File

@@ -24,11 +24,16 @@ def test_chat_json_strips_think_and_parses():
{"type": "object"}) {"type": "object"})
assert out == {"a": 1} assert out == {"a": 1}
body = p.call_args.kwargs["json"] body = p.call_args.kwargs["json"]
assert "max_tokens" not in body assert body["max_tokens"] == 8192
assert body["chat_template_kwargs"] == {"enable_thinking": False} assert body["chat_template_kwargs"] == {"enable_thinking": False}
assert body["response_format"]["json_schema"]["schema"] == {"type": "object"} assert body["response_format"]["json_schema"]["schema"] == {"type": "object"}
def test_extract_schema_caps_requirements_list():
reqs = llm.EXTRACT_SCHEMA["properties"]["requirements"]
assert reqs["maxItems"] == 40
def test_chat_json_strips_markdown_fences(): def test_chat_json_strips_markdown_fences():
content = "```json\n{\"a\": 2}\n```" content = "```json\n{\"a\": 2}\n```"
with mock.patch("projektmatch.llm.requests.post", fake_post([content])): with mock.patch("projektmatch.llm.requests.post", fake_post([content])):

View File

@@ -1,4 +1,5 @@
import email import email
from email.message import EmailMessage
import pytest import pytest
from unittest import mock from unittest import mock
@@ -62,7 +63,8 @@ def test_fetch_raises_on_malformed_ok_response():
def test_send_mail_starttls(): def test_send_mail_starttls():
with mock.patch("projektmatch.mailer.smtplib.SMTP") as smtp: with mock.patch("projektmatch.mailer.smtplib.SMTP") as smtp, \
mock.patch("projektmatch.mailer.append_sent") as append_sent:
server = smtp.return_value.__enter__.return_value server = smtp.return_value.__enter__.return_value
mailer.send_mail("u@x", "pw", "to@x", "Subj", "Body") mailer.send_mail("u@x", "pw", "to@x", "Subj", "Body")
server.starttls.assert_called_once() server.starttls.assert_called_once()
@@ -71,3 +73,52 @@ def test_send_mail_starttls():
assert msg["Subject"] == "Subj" and msg["To"] == "to@x" assert msg["Subject"] == "Subj" and msg["To"] == "to@x"
assert msg["Date"] assert msg["Date"]
assert msg["Message-ID"].endswith("@destengs.com>") assert msg["Message-ID"].endswith("@destengs.com>")
append_sent.assert_called_once_with("u@x", "pw", msg)
def test_send_mail_survives_append_failure():
with mock.patch("projektmatch.mailer.smtplib.SMTP") as smtp, \
mock.patch("projektmatch.mailer.append_sent",
side_effect=OSError("imap down")):
mailer.send_mail("u@x", "pw", "to@x", "Subj", "Body")
def test_ensure_alive_keeps_healthy_connection():
conn = fake_conn()
conn.noop.return_value = ("OK", [b""])
box = mailer.MailBox("u", "p", conn=conn)
box.ensure_alive()
assert box.conn is conn
conn.noop.assert_called_once()
def test_ensure_alive_reconnects_on_dead_connection():
conn = fake_conn()
conn.noop.side_effect = OSError("connection closed")
box = mailer.MailBox("u", "p", conn=conn)
fresh = fake_conn()
with mock.patch("projektmatch.mailer.imaplib.IMAP4_SSL",
return_value=fresh):
box.ensure_alive()
assert box.conn is fresh
fresh.login.assert_called_once_with("u", "p")
fresh.select.assert_called_once_with("INBOX")
def test_append_sent_uses_special_use_folder():
conn = mock.Mock()
conn.list.return_value = ("OK", [
b'(\\HasNoChildren) "." "INBOX"',
b'(\\HasNoChildren \\Sent) "." "Sent"'])
msg = EmailMessage()
msg["Subject"] = "Subj"
msg.set_content("Body")
mailer.append_sent("u@x", "pw", msg, conn=conn)
args = conn.append.call_args.args
assert args[0] == "Sent"
assert "\\Seen" in args[1]
assert args[3] == msg.as_bytes()
conn.login.assert_not_called()
conn.logout.assert_not_called()

View File

@@ -33,6 +33,68 @@ def ctx_after_match(ratings):
return ctx return ctx
PROJECT_PAGE = """
<html><body>
<nav>Login Registrieren</nav>
<div class="content">
<div class="project-header">
<h1>ISTQB Testautomatisierung (m/w/d)</h1>
<span>iSAX Consulting GmbH</span>
<span>Start 8/2026</span>
</div>
<div class="project-body">
<div class="project-body-badges badges-container">
<a href="#">ISTQB</a><a href="#">Testsuite</a><a href="#">IBM Aix</a>
</div>
<div class="project-body-description">
<p>Beschreibung: Muss-Anforderungen: 3 Jahre Testautomatisierung.
Erstellung, Beratung und methodische Unterstuetzung der Projektteams
bei Testkonzept und Teststrategie. Organisation der Testkoordination
fuer einen uebergreifenden Test. Durchfuehrung von manuellen und
automatisierten Tests sowie Last- und Performancetests.</p>
</div>
</div>
</div>
<footer>Impressum Datenschutz</footer>
</body></html>
"""
def test_page_text_keeps_header_and_description_drops_tag_cloud():
text = stages.page_text(PROJECT_PAGE)
assert "ISTQB Testautomatisierung (m/w/d)" in text
assert "Start 8/2026" in text
assert "Muss-Anforderungen: 3 Jahre Testautomatisierung" in text
assert "IBM Aix" not in text
assert "Testsuite" not in text
assert "Impressum" not in text
def test_page_text_replaces_quotes_that_break_json_strings():
html = ('<div class="content">Zertifizierung „ISTQB Certified Tester" '
'sowie "Scrum" und “Kanban”.</div>')
text = stages.page_text(html)
assert '"' not in text
assert "" not in text and "" not in text and "" not in text
assert "'ISTQB Certified Tester'" in text
def test_page_text_falls_back_to_whole_page():
html = "<html><body><p>Nur Text ohne content-Div.</p></body></html>"
assert "Nur Text ohne content-Div." in stages.page_text(html)
def test_stage_fetch_uses_project_section():
resp = mock.Mock(status_code=200, text=PROJECT_PAGE)
resp.raise_for_status = lambda: None
ctx = {"canonical": "https://www.freelancermap.de/projekt/x", "title": "t"}
with mock.patch("projektmatch.stages.requests.get", return_value=resp):
out = stages.stage_fetch(dict(ctx), CFG)
assert out["status"] == "ok"
assert "IBM Aix" not in out["page_text"]
assert "Muss-Anforderungen" in out["page_text"]
def test_run_stage_catches_and_skips(): def test_run_stage_catches_and_skips():
def boom(ctx, cfg): def boom(ctx, cfg):
raise ValueError("kaputt") raise ValueError("kaputt")