Add Azure OpenAI support

Remove installation_id from cli

pr_agent/algo/ai_handler.py

@@ -14,6 +14,13 @@ class AiHandler:
             openai.api_key = settings.openai.key
             if settings.get("OPENAI.ORG", None):
                 openai.organization = settings.openai.org
+            self.deployment_id = settings.get("OPENAI.DEPLOYMENT_ID", None)
+            if settings.get("OPENAI.API_TYPE", None):
+                openai.api_type = settings.openai.api_type
+            if settings.get("OPENAI.API_VERSION", None):
+                openai.engine = settings.openai.api_version
+            if settings.get("OPENAI.API_BASE", None):
+                openai.api_base = settings.openai.api_base
         except AttributeError as e:
             raise ValueError("OpenAI key is required") from e
 
@@ -23,6 +30,7 @@ class AiHandler:
         try:
             response = await openai.ChatCompletion.acreate(
                             model=model,
+                            deployment_id=self.deployment_id,
                             messages=[
                                 {"role": "system", "content": system},
                                 {"role": "user", "content": user}

pr_agent/algo/utils.py

@@ -1,5 +1,8 @@
 from __future__ import annotations
 
+import json
+import logging
+import re
 import textwrap
 
 
@@ -61,3 +64,25 @@ def parse_code_suggestion(code_suggestions: dict) -> str:
     markdown_text += "\n"
     return markdown_text
 
+
+def try_fix_json(review, max_iter=10):
+    # Try to fix JSON if it is broken/incomplete: parse until the last valid code suggestion
+    data = {}
+    if review.rfind("'Code suggestions': [") > 0 or review.rfind('"Code suggestions": [') > 0:
+        last_code_suggestion_ind = [m.end() for m in re.finditer(r"\}\s*,", review)][-1] - 1
+        valid_json = False
+        iter_count = 0
+        while last_code_suggestion_ind > 0 and not valid_json and iter_count < max_iter:
+            try:
+                data = json.loads(review[:last_code_suggestion_ind] + "]}}")
+                valid_json = True
+                review = review[:last_code_suggestion_ind].strip() + "]}}"
+            except json.decoder.JSONDecodeError:
+                review = review[:last_code_suggestion_ind]
+                # Use regular expression to find the last occurrence of "}," with any number of whitespaces or newlines
+                last_code_suggestion_ind = [m.end() for m in re.finditer(r"\}\s*,", review)][-1] - 1
+                iter_count += 1
+        if not valid_json:
+            logging.error("Unable to decode JSON response from AI")
+            data = {}
+    return data

pr_agent/cli.py

@@ -15,11 +15,11 @@ def run():
     logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO"))
     if args.question:
         print(f"Question: {args.question} about PR {args.pr_url}")
-        reviewer = PRQuestions(args.pr_url, args.question, installation_id=None)
+        reviewer = PRQuestions(args.pr_url, args.question)
         asyncio.run(reviewer.answer())
     else:
         print(f"Reviewing PR: {args.pr_url}")
-        reviewer = PRReviewer(args.pr_url, installation_id=None, cli_mode=True)
+        reviewer = PRReviewer(args.pr_url, cli_mode=True)
         asyncio.run(reviewer.review())
 
 

pr_agent/settings/.secrets_template.toml

@@ -9,6 +9,11 @@
 [openai]
 key = "<API_KEY>"  # Acquire through https://platform.openai.com
 org = "<ORGANIZATION>"  # Optional, may be commented out.
+# Uncomment the following for Azure OpenAI
+#api_type = "azure"
+#api_version = '2023-05-15'  # Check Azure documentation for the current API version
+#api_base = "<API_BASE>"  # The base URL for your Azure OpenAI resource. e.g. "https://<your resource name>.openai.azure.com"
+#deployment_id = "<DEPLOYMENT_ID>"  # The deployment name you chose when you deployed the engine
 
 [github]
 # ---- Set the following only for deployment type == "user"

pr_agent/tools/pr_reviewer.py

@@ -7,7 +7,7 @@ from jinja2 import Environment, StrictUndefined
 from pr_agent.algo.ai_handler import AiHandler
 from pr_agent.algo.pr_processing import get_pr_diff
 from pr_agent.algo.token_handler import TokenHandler
-from pr_agent.algo.utils import convert_to_markdown
+from pr_agent.algo.utils import convert_to_markdown, try_fix_json
 from pr_agent.config_loader import settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
@@ -69,11 +69,7 @@ class PRReviewer:
         model = settings.config.model
         response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
                                                                         system=system_prompt, user=user_prompt)
-        try:
-            json.loads(response)
-        except json.decoder.JSONDecodeError:
-            logging.warning("Could not decode JSON")
-            response = {}
+
         return response
 
     def _prepare_pr_review(self) -> str:
@@ -81,8 +77,7 @@ class PRReviewer:
         try:
             data = json.loads(review)
         except json.decoder.JSONDecodeError:
-            logging.error("Unable to decode JSON response from AI")
-            data = {}
+            data = try_fix_json(review)
 
         # reordering for nicer display
         if 'PR Feedback' in data:
@@ -108,4 +103,4 @@ class PRReviewer:
 
         if settings.config.verbosity_level >= 2:
             logging.info(f"Markdown response:\n{markdown_text}")
-        return markdown_text
+        return markdown_text

tests/unit/test_fix_output.py

@@ -0,0 +1,91 @@
+# Generated by CodiumAI
+from pr_agent.algo.utils import try_fix_json
+
+
+import pytest
+
+class TestTryFixJson:
+    # Tests that JSON with complete 'Code suggestions' section returns expected output
+    def test_incomplete_code_suggestions(self):
+        review = '{"PR Analysis": {"Main theme": "xxx", "Description and title": "Yes", "Type of PR": "Bug fix"}, "PR Feedback": {"General PR suggestions": "..., `xxx`...", "Code suggestions": [{"suggestion number": 1, "relevant file": "xxx.py", "suggestion content": "xxx [important]"}, {"suggestion number": 2, "relevant file": "yyy.py", "suggestion content": "yyy [incomp...'
+        expected_output = {
+            'PR Analysis': {
+                'Main theme': 'xxx',
+                'Description and title': 'Yes',
+                'Type of PR': 'Bug fix'
+            },
+            'PR Feedback': {
+                'General PR suggestions': '..., `xxx`...',
+                'Code suggestions': [
+                    {
+                        'suggestion number': 1,
+                        'relevant file': 'xxx.py',
+                        'suggestion content': 'xxx [important]'
+                    }
+                ]
+            }
+        }
+        assert try_fix_json(review) == expected_output
+
+    def test_incomplete_code_suggestions_new_line(self):
+        review = '{"PR Analysis": {"Main theme": "xxx", "Description and title": "Yes", "Type of PR": "Bug fix"}, "PR Feedback": {"General PR suggestions": "..., `xxx`...", "Code suggestions": [{"suggestion number": 1, "relevant file": "xxx.py", "suggestion content": "xxx [important]"} \n\t, {"suggestion number": 2, "relevant file": "yyy.py", "suggestion content": "yyy [incomp...'
+        expected_output = {
+            'PR Analysis': {
+                'Main theme': 'xxx',
+                'Description and title': 'Yes',
+                'Type of PR': 'Bug fix'
+            },
+            'PR Feedback': {
+                'General PR suggestions': '..., `xxx`...',
+                'Code suggestions': [
+                    {
+                        'suggestion number': 1,
+                        'relevant file': 'xxx.py',
+                        'suggestion content': 'xxx [important]'
+                    }
+                ]
+            }
+        }
+        assert try_fix_json(review) == expected_output
+
+    def test_incomplete_code_suggestions_many_close_brackets(self):
+        review = '{"PR Analysis": {"Main theme": "xxx", "Description and title": "Yes", "Type of PR": "Bug fix"}, "PR Feedback": {"General PR suggestions": "..., `xxx`...", "Code suggestions": [{"suggestion number": 1, "relevant file": "xxx.py", "suggestion content": "xxx [important]"} \n, {"suggestion number": 2, "relevant file": "yyy.py", "suggestion content": "yyy }, [}\n ,incomp.}  ,..'
+        expected_output = {
+            'PR Analysis': {
+                'Main theme': 'xxx',
+                'Description and title': 'Yes',
+                'Type of PR': 'Bug fix'
+            },
+            'PR Feedback': {
+                'General PR suggestions': '..., `xxx`...',
+                'Code suggestions': [
+                    {
+                        'suggestion number': 1,
+                        'relevant file': 'xxx.py',
+                        'suggestion content': 'xxx [important]'
+                    }
+                ]
+            }
+        }
+        assert try_fix_json(review) == expected_output
+
+    def test_incomplete_code_suggestions_relevant_file(self):
+        review = '{"PR Analysis": {"Main theme": "xxx", "Description and title": "Yes", "Type of PR": "Bug fix"}, "PR Feedback": {"General PR suggestions": "..., `xxx`...", "Code suggestions": [{"suggestion number": 1, "relevant file": "xxx.py", "suggestion content": "xxx [important]"}, {"suggestion number": 2, "relevant file": "yyy.p'
+        expected_output = {
+            'PR Analysis': {
+                'Main theme': 'xxx',
+                'Description and title': 'Yes',
+                'Type of PR': 'Bug fix'
+            },
+            'PR Feedback': {
+                'General PR suggestions': '..., `xxx`...',
+                'Code suggestions': [
+                    {
+                        'suggestion number': 1,
+                        'relevant file': 'xxx.py',
+                        'suggestion content': 'xxx [important]'
+                    }
+                ]
+            }
+        }
+        assert try_fix_json(review) == expected_output