fix(taps): align with integrator resilience patterns

Port critical patterns from the working integrator into Singer taps:
- GIAS: add 404 fallback to yesterday's date, increase timeout to 300s,
  use latin-1 encoding, use dated URL for links (static URL returns 500)
- FBIT: add GIAS date fallback, increase timeout, fix encoding to latin-1
- IDACI: use dated GIAS URL with fallback instead of undated static URL,
  fix encoding to latin-1, increase timeout to 300s
- Ofsted: try utf-8-sig then fall back to latin-1 encoding

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

pipeline/plugins/extractors/tap-uk-fbit/tap_uk_fbit/tap.py

@@ -33,19 +33,30 @@ class FBITFinanceStream(Stream):
     def _get_school_urns(self) -> list[int]:
         """Fetch all open school URNs from GIAS to know what to query."""
         import io
+        from datetime import timedelta
+
         import pandas as pd
 
-        url = (
+        base = (
             "https://ea-edubase-api-prod.azurewebsites.net"
-            f"/edubase/downloads/public/edubasealldata{date.today().strftime('%Y%m%d')}.csv"
+            "/edubase/downloads/public/edubasealldata{date}.csv"
         )
+        today = date.today()
+        url = base.format(date=today.strftime("%Y%m%d"))
+
         self.logger.info("Fetching URN list from GIAS for FBIT extraction...")
         try:
-            resp = requests.get(url, timeout=120)
+            resp = requests.get(url, timeout=300)
+            # Fall back to yesterday if today's file isn't available
+            if resp.status_code == 404:
+                yesterday = (today - timedelta(days=1)).strftime("%Y%m%d")
+                url = base.format(date=yesterday)
+                self.logger.info("Today's GIAS file not available, trying yesterday")
+                resp = requests.get(url, timeout=300)
             resp.raise_for_status()
             df = pd.read_csv(
                 io.StringIO(resp.text),
-                encoding="utf-8-sig",
+                encoding="latin-1",
                 usecols=["URN", "EstablishmentStatus (name)"],
                 dtype=str,
             )

pipeline/plugins/extractors/tap-uk-gias/tap_uk_gias/tap.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from datetime import date
+from datetime import date, timedelta
 
 from singer_sdk import Stream, Tap
 from singer_sdk import typing as th
@@ -12,6 +12,11 @@ GIAS_URL_TEMPLATE = (
     "/edubase/downloads/public/edubasealldata{date}.csv"
 )
 
+GIAS_LINKS_URL_TEMPLATE = (
+    "https://ea-edubase-api-prod.azurewebsites.net"
+    "/edubase/downloads/public/links_edubasealldata{date}.csv"
+)
+
 
 class GIASEstablishmentsStream(Stream):
     """Stream: GIAS establishments (one row per URN)."""
@@ -40,23 +45,30 @@ class GIASEstablishmentsStream(Stream):
         import pandas as pd
         import requests
 
-        today = date.today().strftime("%Y%m%d")
-        url = GIAS_URL_TEMPLATE.format(date=today)
+        today = date.today()
+        url = GIAS_URL_TEMPLATE.format(date=today.strftime("%Y%m%d"))
 
         self.logger.info("Downloading GIAS bulk CSV: %s", url)
-        resp = requests.get(url, timeout=120)
+        resp = requests.get(url, timeout=300)
+
+        # GIAS may not have today's file yet — fall back to yesterday
+        if resp.status_code == 404:
+            yesterday = (today - timedelta(days=1)).strftime("%Y%m%d")
+            url = GIAS_URL_TEMPLATE.format(date=yesterday)
+            self.logger.info("Today's file not available, trying yesterday: %s", url)
+            resp = requests.get(url, timeout=300)
+
         resp.raise_for_status()
 
         df = pd.read_csv(
             io.StringIO(resp.text),
-            encoding="utf-8-sig",
+            encoding="latin-1",
             dtype=str,
             keep_default_na=False,
         )
 
         for _, row in df.iterrows():
             record = row.to_dict()
-            # Cast URN to int
             try:
                 record["URN"] = int(record["URN"])
             except (ValueError, KeyError):
@@ -85,18 +97,24 @@ class GIASLinksStream(Stream):
         import pandas as pd
         import requests
 
-        url = (
-            "https://ea-edubase-api-prod.azurewebsites.net"
-            "/edubase/downloads/public/links_edubasealldata.csv"
-        )
+        today = date.today()
+        url = GIAS_LINKS_URL_TEMPLATE.format(date=today.strftime("%Y%m%d"))
 
         self.logger.info("Downloading GIAS links CSV: %s", url)
-        resp = requests.get(url, timeout=120)
+        resp = requests.get(url, timeout=300)
+
+        # Fall back to yesterday if today's file isn't available
+        if resp.status_code in (404, 500):
+            yesterday = (today - timedelta(days=1)).strftime("%Y%m%d")
+            url = GIAS_LINKS_URL_TEMPLATE.format(date=yesterday)
+            self.logger.info("Today's links file not available, trying yesterday: %s", url)
+            resp = requests.get(url, timeout=300)
+
         resp.raise_for_status()
 
         df = pd.read_csv(
             io.StringIO(resp.text),
-            encoding="utf-8-sig",
+            encoding="latin-1",
             dtype=str,
             keep_default_na=False,
         )

pipeline/plugins/extractors/tap-uk-idaci/tap_uk_idaci/tap.py

@@ -103,17 +103,29 @@ class IDACIStream(Stream):
 
     def _get_school_postcodes(self) -> list[tuple[int, str]]:
         """Fetch URN + postcode pairs from GIAS."""
-        url = (
+        from datetime import date, timedelta
+
+        today = date.today()
+        base = (
             "https://ea-edubase-api-prod.azurewebsites.net"
-            "/edubase/downloads/public/edubasealldata.csv"
+            "/edubase/downloads/public/edubasealldata{date}.csv"
         )
+        url = base.format(date=today.strftime("%Y%m%d"))
         self.logger.info("Fetching school postcodes from GIAS...")
-        resp = requests.get(url, timeout=120)
+        resp = requests.get(url, timeout=300)
+
+        # Fall back to yesterday if today's file isn't available
+        if resp.status_code == 404:
+            yesterday = (today - timedelta(days=1)).strftime("%Y%m%d")
+            url = base.format(date=yesterday)
+            self.logger.info("Today's GIAS file not available, trying yesterday: %s", url)
+            resp = requests.get(url, timeout=300)
+
         resp.raise_for_status()
 
         df = pd.read_csv(
             io.StringIO(resp.text),
-            encoding="utf-8-sig",
+            encoding="latin-1",
             usecols=["URN", "Postcode", "EstablishmentStatus (name)"],
             dtype=str,
         )

pipeline/plugins/extractors/tap-uk-ofsted/tap_uk_ofsted/tap.py

@@ -129,7 +129,11 @@ class OfstedInspectionsStream(Stream):
             df = pd.read_excel(io.BytesIO(resp.content), engine="odf", dtype=str)
         else:
             # Detect header row (may not be row 0)
-            text = resp.content.decode("utf-8-sig", errors="replace")
+            # Try utf-8-sig first, fall back to latin-1 (matches integrator)
+            try:
+                text = resp.content.decode("utf-8-sig")
+            except UnicodeDecodeError:
+                text = resp.content.decode("latin-1")
             lines = text.split("\n")
             header_idx = 0
             for i, line in enumerate(lines[:20]):