Merge branch 'main' of github.com:MadcowD/ell

examples/git_issue.py

@@ -0,0 +1,136 @@
+import ell
+import os
+
+from ell.stores.sql import SQLiteStore
+
+ell.config.verbose = True
+
+@ell.lm(model="gpt-4o-mini", temperature=0.1)
+def generate_description(about : str):
+    return [
+        ell.system(f"""Provide a clear and concise description of what the issue is. Include any relevant information that helps to explain the problem. 
+                   This section should help the reader understand the context and the impact of the issue. 
+                   Output only the description as a string and nothing else"""),
+        ell.user(f"Generate a issue description about {about}."),
+    ]
+
+@ell.lm(model="gpt-4o-mini", temperature=0.1)
+def generate_python_code_for_A_output_B(A: str, B: str = 'nothing'):
+    return [
+        ell.system(f"""You are a world-class python developer. Do not include code that can leak important privacy information that maybe of concern.
+                   Check the code carefully in terms of correctness, style and efficiency. 
+                   Do not format in markdown. You are directly outputting python code. 
+                   Do not include use code to get system information that is not important to github issue.
+                   You can also do multiline code if you need ot import any dependency. Do not write wrap any code in functions.
+                    """),
+        ell.user(f"Write the python code for {A} and the code should have a local 'OUTPUT' as {B}. Only output the code and nothing else."),
+    ]
+
+@ell.lm(model="gpt-4o", temperature=0.1)
+def generate_issue(
+                    error: str,
+                   ):
+        #generate description
+    description = generate_description(error)
+
+    # Define topics for system information
+    info_topics = ['operating system info', 
+                'Hardware',
+                ]
+
+    # Generate Python code for each info topic
+    ls_code = [generate_python_code_for_A_output_B(i, 'string') for i in info_topics]
+    system_info = []
+    # Execute each generated code snippet
+    for code in ls_code:
+        local_vars = {}
+        exec(code, globals(), local_vars)
+        # Record the output 
+        system_info.append(local_vars.get("OUTPUT"))
+
+    return [
+        ell.system("You are an expert at Markdown and at writing git issues. Output Markdown and nothing else"),
+        ell.user(f"Write a git issue with the following description: {description}. Here is the system information: {system_info}"),
+    ]
+
+if __name__ == "__main__":
+
+    store = SQLiteStore('sqlite_example')
+    store.install(autocommit=True)
+
+    # This is an example from ell's early day error
+    error_console_output = """
+    (ell_lab) D:\\dev\\ell>D:/anaconda/envs/ell_lab/python.exe d:/dev/ell/examples/multilmp.py
+    before ideas 1232131
+    ╔═════════════════════════════════════════════════════════════════════════════════════════════════════════════╗
+    ║ generate_story_ideas(a dog) # (notimple...)
+    ╠═════════════════════════════════════════════════════════════════════════════════════════════════════════════╣
+    ║ Prompt:
+    ╟─────────────────────────────────────────────────────────────────────────────────────────────────────────────╢
+    │      system: You are an expert story ideator. Only answer in a single sentence.
+    │
+    │        user: Generate a story idea about a dog.
+    ╟─────────────────────────────────────────────────────────────────────────────────────────────────────────────╢
+    ║ Output[0 of 4]:
+    ╟─────────────────────────────────────────────────────────────────────────────────────────────────────────────╢
+    │   assistant: A rescue dog with the ability to sense emotions helps a grieving child heal after the
+    │              loss of a loved one, leading them both on a journey of friendship and discovery.
+    ╚═════════════════════════════════════════════════════════════════════════════════════════════════════════════╝
+    Traceback (most recent call last):
+    File "d:\\dev\\ell\\examples\\multilmp.py", line 53, in <module>
+        story = write_a_really_good_story("a dog")
+                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\decorators.py", line 207, in wrapper
+        else fn(*fn_args, _invocation_origin=invocation_id, **fn_kwargs, )
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\decorators.py", line 150, in wrapper
+        res = fn(*fn_args, **fn_kwargs)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "d:\\dev\\ell\\examples\\multilmp.py", line 32, in write_a_really_good_story
+        ideas = generate_story_ideas(about, lm_params=(dict(n=4)))
+                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\decorators.py", line 216, in wrapper
+        fn_closure, _uses = ell.util.closure.lexically_closured_source(func_to_track)
+                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\util\\closure.py", line 306, in lexically_closured_source
+        _, fnclosure, uses = lexical_closure(func, initial_call=True)
+                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\util\\closure.py", line 250, in lexical_closure
+        dep, _,  dep_uses = lexical_closure(
+                            ^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\util\\closure.py", line 196, in lexical_closure
+        ret = lexical_closure(
+            ^^^^^^^^^^^^^^^^
+    File "D:\\dev\\ell\\ell\\src\\ell\\util\\closure.py", line 140, in lexical_closure
+        source = getsource(func, lstrip=True)
+                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\anaconda\\envs\\ell_lab\\Lib\\site-packages\\dill\\source.py", line 374, in getsource
+        lines, lnum = getsourcelines(object, enclosing=enclosing)
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\anaconda\\envs\\ell_lab\\Lib\\site-packages\\dill\\source.py", line 345, in getsourcelines
+        code, n = getblocks(object, lstrip=lstrip, enclosing=enclosing, locate=True)
+                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    File "D:\\anaconda\\envs\\ell_lab\\Lib\\site-packages\\dill\\source.py", line 271, in getblocks
+        lines, lnum = findsource(object)
+                    ^^^^^^^^^^^^^^^^^^
+    File "D:\\anaconda\\envs\\ell_lab\\Lib\\site-packages\\dill\\source.py", line 215, in findsource
+        line = lines[lnum]
+            ~~~~~^^^^^^
+    IndexError: list index out of range
+    """
+
+    # error_console_output = input("Enter the console output of the error. ").strip()
+    if error_console_output is None or error_console_output == "":
+        raise ValueError("Error console output is required. Please provide the console output of the error.")
+
+
+    desktop_path = os.path.join(os.path.expanduser("~"), "Desktop")
+    output_file = os.path.join(desktop_path, "git_issue.md")
+
+    # generate a conda yaml file. Add print for success and filepath.
+    # env_info =  'generate a .yaml on desktop for the current conda environment. Add print for success and filepath.'
+    # exec(generate_python_code_for_A_output_B(env_info))
+
+    with open(output_file, "w") as f:
+        f.write(generate_issue(error_console_output))
+