From 52c8917e2cf5928cd54d419f6166d7813a8f6cbc Mon Sep 17 00:00:00 2001
From: Danilo Salve <danilo.salve@proton.me>
Date: Tue, 5 May 2026 15:52:34 -0300
Subject: [PATCH] refactor:reduces the cognitive complexity of get_ai_analysis
 (#2581)

---
 maigret/ai.py | 80 +++++++++++++++++++++++++++------------------------
 1 file changed, 42 insertions(+), 38 deletions(-)

diff --git a/maigret/ai.py b/maigret/ai.py
index b4d0a7a..cc48562 100644
--- a/maigret/ai.py
+++ b/maigret/ai.py
@@ -75,6 +75,45 @@ async def print_streaming(text: str, delay: float = 0.04):
     sys.stdout.flush()
 
 
+async def _check_response(resp):
+    """Raise descriptive errors for non-success HTTP responses."""
+    if resp.status == 401:
+        raise RuntimeError("Invalid OpenAI API key (HTTP 401)")
+    if resp.status == 429:
+        raise RuntimeError("OpenAI API rate limit exceeded (HTTP 429)")
+    if resp.status != 200:
+        body = await resp.text()
+        raise RuntimeError(f"OpenAI API error (HTTP {resp.status}): {body[:500]}")
+
+
+async def _stream_response(resp, spinner, first_token):
+    """Stream tokens from resp, display them, and return (first_token, full_analysis)."""
+    full_response = []
+    async for line in resp.content:
+        decoded = line.decode("utf-8").strip()
+        if not decoded or not decoded.startswith("data: "):
+            continue
+        data_str = decoded[len("data: "):]
+        if data_str == "[DONE]":
+            break
+        try:
+            chunk = json.loads(data_str)
+        except json.JSONDecodeError:
+            continue
+        delta = chunk.get("choices", [{}])[0].get("delta", {})
+        content = delta.get("content", "")
+        if not content:
+            continue
+        if first_token:
+            spinner.stop()
+            print()
+            first_token = False
+        sys.stdout.write(content)
+        sys.stdout.flush()
+        full_response.append(content)
+    return first_token, "".join(full_response)
+
+
 async def get_ai_analysis(
     api_key: str,
     markdown_report: str,
@@ -105,47 +144,12 @@ async def get_ai_analysis(
     spinner = _Spinner("Analysing the data with AI...")
     spinner.start()
     first_token = True
-    full_response = []
 
     try:
         async with aiohttp.ClientSession() as session:
             async with session.post(url, json=payload, headers=headers) as resp:
-                if resp.status == 401:
-                    raise RuntimeError("Invalid OpenAI API key (HTTP 401)")
-                if resp.status == 429:
-                    raise RuntimeError("OpenAI API rate limit exceeded (HTTP 429)")
-                if resp.status != 200:
-                    body = await resp.text()
-                    raise RuntimeError(
-                        f"OpenAI API error (HTTP {resp.status}): {body[:500]}"
-                    )
-
-                async for line in resp.content:
-                    decoded = line.decode("utf-8").strip()
-                    if not decoded or not decoded.startswith("data: "):
-                        continue
-
-                    data_str = decoded[len("data: "):]
-                    if data_str == "[DONE]":
-                        break
-
-                    try:
-                        chunk = json.loads(data_str)
-                    except json.JSONDecodeError:
-                        continue
-
-                    delta = chunk.get("choices", [{}])[0].get("delta", {})
-                    content = delta.get("content", "")
-                    if not content:
-                        continue
-
-                    if first_token:
-                        spinner.stop()
-                        print()
-                        first_token = False
-
-                    sys.stdout.write(content)
-                    sys.stdout.flush()
+                await _check_response(resp)
+                first_token, analysis = await _stream_response(resp, spinner, first_token)
     except Exception:
         spinner.stop()
         raise
@@ -155,4 +159,4 @@ async def get_ai_analysis(
         spinner.stop()
 
     print()
-    return "".join(full_response)
+    return analysis