Improve tailoring and job fetch resilience

.env.example

@@ -8,6 +8,9 @@ RESUME_AGENT_BASE_URL=https://service.nokod.ir/v1
 RESUME_AGENT_MODEL=replace-with-a-model-id-from-resume-agent-models
 RESUME_AGENT_API_STYLE=chat
 RESUME_AGENT_LLM_TIMEOUT_SECONDS=1800
+RESUME_AGENT_JOB_FETCH_TIMEOUT_SECONDS=120
+RESUME_AGENT_JOB_FETCH_RETRIES=2
+RESUME_AGENT_JOB_FETCH_RETRY_BACKOFF_SECONDS=1
 RESUME_AGENT_LOG_LEVEL=INFO
 RESUME_AGENT_LOG_MODEL_PAYLOADS=true
 

README.md

@@ -59,6 +59,8 @@ RESUME_AGENT_API_KEY=your-rotated-token
 RESUME_AGENT_BASE_URL=https://service.nokod.ir/v1
 RESUME_AGENT_API_STYLE=chat
 RESUME_AGENT_LLM_TIMEOUT_SECONDS=1800
+RESUME_AGENT_JOB_FETCH_TIMEOUT_SECONDS=120
+RESUME_AGENT_JOB_FETCH_RETRIES=2
 ```
 
 Discover the provider's exact model IDs, then add your choice to `.env`:
@@ -87,6 +89,13 @@ RESUME_AGENT_LOG_MODEL_PAYLOADS=false
 to 1800 seconds (30 minutes), while connection establishment is capped at 30 seconds.
 An upstream gateway may still enforce its own shorter timeout.
 
+Fetching a job URL is a separate network request made before the model runs. It defaults
+to a 120-second timeout with two retries and exponential backoff. Configure it with
+`RESUME_AGENT_JOB_FETCH_TIMEOUT_SECONDS`, `RESUME_AGENT_JOB_FETCH_RETRIES`, and
+`RESUME_AGENT_JOB_FETCH_RETRY_BACKOFF_SECONDS`. If a careers site blocks server-side
+requests, paste the job description into the app instead; increasing the model timeout
+will not affect that connection.
+
 ## Usage
 
 ### Web interface

src/resume_agent/agent.py

@@ -82,6 +82,7 @@ def tailor_resume(
         _tailoring_prompt(tailoring_strength, evidence_mode),
         json.dumps(payload, ensure_ascii=False),
     )
+    _restore_canonical_contact(profile, draft)
     validate_package(profile, draft, require_evidence=evidence_mode == "strict")
 
     audit_payload = {
@@ -95,6 +96,7 @@ def tailor_resume(
         _audit_prompt(evidence_mode),
         json.dumps(audit_payload, ensure_ascii=False),
     )
+    _restore_canonical_contact(profile, audited)
     validate_package(profile, audited, require_evidence=evidence_mode == "strict")
     return audited
 
@@ -183,6 +185,7 @@ def revise_tailored_resume(
         f"{REVISION_PROMPT}\n\n{_evidence_guidance(evidence_mode)}",
         json.dumps(revision_payload, ensure_ascii=False),
     )
+    _restore_canonical_contact(profile, revised)
     _validate_revision(profile, current, revised, evidence_mode)
 
     audit_payload = {
@@ -197,6 +200,7 @@ def revise_tailored_resume(
         _audit_prompt(evidence_mode),
         json.dumps(audit_payload, ensure_ascii=False),
     )
+    _restore_canonical_contact(profile, audited)
     _validate_revision(profile, current, audited, evidence_mode)
     return audited
 
@@ -212,6 +216,13 @@ def _validate_revision(
         raise ValueError("A resume revision cannot change the original job analysis.")
 
 
+def _restore_canonical_contact(
+    profile: CareerProfile,
+    package: TailoringPackage,
+) -> None:
+    package.resume.contact = profile.contact.model_copy(deep=True)
+
+
 def validate_profile(profile: CareerProfile) -> None:
     ids = [fact.id for fact in profile.facts]
     if not ids:

src/resume_agent/web.py

@@ -1,7 +1,10 @@
 from __future__ import annotations
 
 import ipaddress
+import logging
+import os
 import socket
+import time
 from urllib.parse import urljoin, urlparse
 
 import httpx
@@ -9,6 +12,11 @@ from bs4 import BeautifulSoup
 
 MAX_JOB_PAGE_BYTES = 2 * 1024 * 1024
 MAX_REDIRECTS = 5
+DEFAULT_JOB_FETCH_TIMEOUT_SECONDS = 120.0
+DEFAULT_JOB_FETCH_CONNECT_TIMEOUT_SECONDS = 60.0
+DEFAULT_JOB_FETCH_RETRIES = 2
+DEFAULT_JOB_FETCH_RETRY_BACKOFF_SECONDS = 1.0
+LOGGER = logging.getLogger("resume_agent.web")
 
 
 class JobPageError(ValueError):
@@ -46,27 +54,139 @@ def html_to_text(html: str) -> str:
     return text
 
 
-def fetch_job_page(url: str) -> str:
+def _positive_float_env(name: str, default: float) -> float:
+    raw = os.getenv(name)
+    if raw is None:
+        return default
+    try:
+        value = float(raw)
+    except ValueError as exc:
+        raise JobPageError(f"{name} must be a number.") from exc
+    if value <= 0:
+        raise JobPageError(f"{name} must be greater than zero.")
+    return value
+
+
+def _nonnegative_int_env(name: str, default: int) -> int:
+    raw = os.getenv(name)
+    if raw is None:
+        return default
+    try:
+        value = int(raw)
+    except ValueError as exc:
+        raise JobPageError(f"{name} must be an integer.") from exc
+    if value < 0:
+        raise JobPageError(f"{name} must be zero or greater.")
+    return value
+
+
+def fetch_job_page(
+    url: str,
+    *,
+    timeout_seconds: float | None = None,
+    retries: int | None = None,
+    retry_backoff_seconds: float | None = None,
+) -> str:
+    timeout_seconds = (
+        timeout_seconds
+        if timeout_seconds is not None
+        else _positive_float_env(
+            "RESUME_AGENT_JOB_FETCH_TIMEOUT_SECONDS",
+            DEFAULT_JOB_FETCH_TIMEOUT_SECONDS,
+        )
+    )
+    retries = (
+        retries
+        if retries is not None
+        else _nonnegative_int_env("RESUME_AGENT_JOB_FETCH_RETRIES", DEFAULT_JOB_FETCH_RETRIES)
+    )
+    retry_backoff_seconds = (
+        retry_backoff_seconds
+        if retry_backoff_seconds is not None
+        else _positive_float_env(
+            "RESUME_AGENT_JOB_FETCH_RETRY_BACKOFF_SECONDS",
+            DEFAULT_JOB_FETCH_RETRY_BACKOFF_SECONDS,
+        )
+    )
+    if timeout_seconds <= 0:
+        raise JobPageError("Job fetch timeout must be greater than zero.")
+    if retries < 0:
+        raise JobPageError("Job fetch retries must be zero or greater.")
+    if retry_backoff_seconds < 0:
+        raise JobPageError("Job fetch retry backoff must be zero or greater.")
+
     current = url
     headers = {"User-Agent": "ResumeAgent/0.1 (+local CLI)"}
-    with httpx.Client(timeout=15, headers=headers, follow_redirects=False) as client:
+    timeout = httpx.Timeout(
+        timeout=timeout_seconds,
+        connect=min(DEFAULT_JOB_FETCH_CONNECT_TIMEOUT_SECONDS, timeout_seconds),
+    )
+    with httpx.Client(timeout=timeout, headers=headers, follow_redirects=False) as client:
         for _ in range(MAX_REDIRECTS + 1):
             _validate_public_url(current)
+            for attempt in range(retries + 1):
+                try:
                     with client.stream("GET", current) as response:
-                if response.is_redirect:
+                        retryable_status = response.status_code in {408, 425, 429} or (
+                            500 <= response.status_code <= 599
+                        )
+                        if retryable_status and attempt < retries:
+                            LOGGER.warning(
+                                "event=job_fetch_retry url_host=%s attempt=%d/%d status=%d",
+                                urlparse(current).hostname,
+                                attempt + 1,
+                                retries + 1,
+                                response.status_code,
+                            )
+                        elif response.is_redirect:
                             location = response.headers.get("location")
                             if not location:
                                 raise JobPageError("Job page returned an invalid redirect.")
                             current = urljoin(current, location)
-                    continue
+                            break
+                        else:
                             response.raise_for_status()
                             content_type = response.headers.get("content-type", "")
-                if "text/html" not in content_type and "text/plain" not in content_type:
+                            if (
-                    raise JobPageError("Job URL did not return HTML or plain text.")
+                                "text/html" not in content_type
+                                and "text/plain" not in content_type
+                            ):
+                                raise JobPageError(
+                                    "Job URL did not return HTML or plain text."
+                                )
                             body = bytearray()
                             for chunk in response.iter_bytes():
                                 body.extend(chunk)
                                 if len(body) > MAX_JOB_PAGE_BYTES:
-                        raise JobPageError("Job page is larger than the 2 MB safety limit.")
+                                    raise JobPageError(
-                return html_to_text(body.decode(response.encoding or "utf-8", errors="replace"))
+                                        "Job page is larger than the 2 MB safety limit."
+                                    )
+                            return html_to_text(
+                                body.decode(response.encoding or "utf-8", errors="replace")
+                            )
+                except httpx.HTTPStatusError as exc:
+                    raise JobPageError(
+                        f"Job URL returned HTTP {exc.response.status_code}."
+                    ) from exc
+                except httpx.RequestError as exc:
+                    if attempt >= retries:
+                        raise JobPageError(
+                            "Could not connect to the job URL after "
+                            f"{retries + 1} attempts ({type(exc).__name__}: {exc}). "
+                            "The site may block server requests; paste the job description "
+                            "into the app instead."
+                        ) from exc
+                    LOGGER.warning(
+                        "event=job_fetch_retry url_host=%s attempt=%d/%d error_type=%s",
+                        urlparse(current).hostname,
+                        attempt + 1,
+                        retries + 1,
+                        type(exc).__name__,
+                    )
+
+                delay = retry_backoff_seconds * (2**attempt)
+                if delay:
+                    time.sleep(delay)
+            else:
+                raise JobPageError("Job URL could not be fetched.")
     raise JobPageError("Job URL redirected too many times.")

tests/test_agent.py

@@ -123,6 +123,47 @@ def test_tailor_runs_draft_and_audit() -> None:
     assert result == expected
 
 
+def test_tailor_restores_canonical_contact_after_each_model_pass() -> None:
+    draft = package()
+    audited = package()
+    for result in (draft, audited):
+        result.resume.contact = ContactInfo(
+            full_name="Reformatted Name",
+            email="changed@example.com",
+            phone="000",
+            location="Changed location",
+            linkedin="https://example.com/changed",
+            website=None,
+        )
+
+    result = tailor_resume(FakeLLM([draft, audited]), profile(), "long job post")
+
+    assert result.resume.contact == CONTACT
+
+
+def test_revision_restores_canonical_contact_after_each_model_pass() -> None:
+    revised = package()
+    audited = package()
+    for result in (revised, audited):
+        result.resume.contact = ContactInfo(
+            full_name="Reformatted Name",
+            email="changed@example.com",
+            phone=None,
+            location="London",
+            linkedin=None,
+            website=None,
+        )
+
+    result = revise_tailored_resume(
+        FakeLLM([revised, audited]),
+        profile(),
+        package(),
+        "Make the summary more direct.",
+    )
+
+    assert result.resume.contact == CONTACT
+
+
 def test_tailoring_strength_controls_rewriting_without_relaxing_evidence() -> None:
     expected = package()
     llm = FakeLLM([expected, expected])

tests/test_web.py

@@ -0,0 +1,108 @@
+from __future__ import annotations
+
+from typing import Any
+
+import httpx
+import pytest
+
+from resume_agent import web
+
+
+def _mock_client(
+    monkeypatch: pytest.MonkeyPatch,
+    handler: Any,
+    captured: dict[str, Any] | None = None,
+) -> None:
+    original_client = httpx.Client
+    transport = httpx.MockTransport(handler)
+
+    def client_factory(**kwargs: Any) -> httpx.Client:
+        if captured is not None:
+            captured.update(kwargs)
+        return original_client(transport=transport, **kwargs)
+
+    monkeypatch.setattr(web.httpx, "Client", client_factory)
+    monkeypatch.setattr(web, "_validate_public_url", lambda _url: None)
+
+
+def test_job_fetch_retries_transient_connection_timeout(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    attempts = 0
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        nonlocal attempts
+        attempts += 1
+        if attempts == 1:
+            raise httpx.ConnectTimeout("timed out", request=request)
+        return httpx.Response(
+            200,
+            headers={"content-type": "text/html; charset=utf-8"},
+            text="<html><body><h1>Backend Engineer</h1></body></html>",
+        )
+
+    _mock_client(monkeypatch, handler)
+
+    result = web.fetch_job_page(
+        "https://jobs.example/role",
+        timeout_seconds=120,
+        retries=1,
+        retry_backoff_seconds=0,
+    )
+
+    assert result == "Backend Engineer"
+    assert attempts == 2
+
+
+def test_job_fetch_reports_timeout_as_job_page_error(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    attempts = 0
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        nonlocal attempts
+        attempts += 1
+        raise httpx.ConnectTimeout("timed out", request=request)
+
+    _mock_client(monkeypatch, handler)
+
+    with pytest.raises(web.JobPageError, match="after 3 attempts"):
+        web.fetch_job_page(
+            "https://jobs.example/role",
+            timeout_seconds=120,
+            retries=2,
+            retry_backoff_seconds=0,
+        )
+
+    assert attempts == 3
+
+
+def test_job_fetch_timeout_is_configurable(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    captured: dict[str, Any] = {}
+
+    def handler(_request: httpx.Request) -> httpx.Response:
+        return httpx.Response(
+            200,
+            headers={"content-type": "text/plain"},
+            text="Complete job description",
+        )
+
+    _mock_client(monkeypatch, handler, captured)
+    monkeypatch.setenv("RESUME_AGENT_JOB_FETCH_TIMEOUT_SECONDS", "240")
+    monkeypatch.setenv("RESUME_AGENT_JOB_FETCH_RETRIES", "0")
+
+    assert web.fetch_job_page("https://jobs.example/role") == "Complete job description"
+    timeout = captured["timeout"]
+    assert timeout.connect == 60
+    assert timeout.read == 240
+
+
+def test_job_fetch_rejects_invalid_timeout_configuration(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    monkeypatch.setenv("RESUME_AGENT_JOB_FETCH_TIMEOUT_SECONDS", "not-a-number")
+
+    with pytest.raises(web.JobPageError, match="must be a number"):
+        web.fetch_job_page("https://jobs.example/role")