mirror of
https://github.com/aljazceru/dev-gpt.git
synced 2026-01-29 10:14:29 +01:00
feat: server
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@@ -2,17 +2,21 @@ EXECUTOR_FILE_NAME = 'executor.py'
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TEST_EXECUTOR_FILE_NAME = 'test_executor.py'
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REQUIREMENTS_FILE_NAME = 'requirements.txt'
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DOCKER_FILE_NAME = 'Dockerfile'
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CLIENT_FILE_NAME = 'client.py'
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EXECUTOR_FILE_TAG = 'executor'
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TEST_EXECUTOR_FILE_TAG = 'test_executor'
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REQUIREMENTS_FILE_TAG = 'requirements'
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DOCKER_FILE_TAG = 'dockerfile'
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CLIENT_FILE_TAG = 'client'
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TAG_TO_FILE_NAME = {
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EXECUTOR_FILE_TAG: EXECUTOR_FILE_NAME,
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TEST_EXECUTOR_FILE_TAG: TEST_EXECUTOR_FILE_NAME,
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REQUIREMENTS_FILE_TAG: REQUIREMENTS_FILE_NAME,
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DOCKER_FILE_TAG: DOCKER_FILE_NAME
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DOCKER_FILE_TAG: DOCKER_FILE_NAME,
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CLIENT_FILE_TAG: CLIENT_FILE_NAME
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}
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EXECUTOR_FOLDER = 'executor'
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FLOW_URL_PLACEHOLDER = 'jcloud.jina.ai'
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@@ -2,9 +2,13 @@ import os
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import openai
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from src.utils.string import print_colored
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openai.api_key = os.environ['OPENAI_API_KEY']
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def get_response(system_definition, user_query):
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print_colored('system_definition', system_definition, 'magenta')
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print_colored('user_query', user_query, 'blue')
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response = openai.ChatCompletion.create(
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temperature=0,
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model="gpt-4",
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@@ -23,5 +27,5 @@ def get_response(system_definition, user_query):
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]
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)
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content = response['choices'][0]['message']['content']
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print(content)
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print_colored('agent response', content, 'green')
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return content
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@@ -1,9 +1,12 @@
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import os
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from multiprocessing.connection import Client
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import hubble
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from jcloud.flow import CloudFlow
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from jina import Flow
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from src.constants import FLOW_URL_PLACEHOLDER
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def push_executor():
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cmd = 'jina hub push executor/. --verbose'
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@@ -46,4 +49,24 @@ executors:
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with flow:
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pass
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return CloudFlow(path=full_flow_path).__enter__().endpoints['gateway']
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return CloudFlow(path=full_flow_path).__enter__().endpoints['gateway']
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def replace_client_line(file_content: str, replacement: str) -> str:
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lines = file_content.split('\n')
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for index, line in enumerate(lines):
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if 'Client(' in line:
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lines[index] = replacement
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break
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return '\n'.join(lines)
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def run_client_file(file_path, host):
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with open(file_path, 'r') as file:
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content = file.read()
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replaced_content = replace_client_line(content, f"client = Client(host='{host}')")
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with open(file_path, 'w') as file:
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file.write(replaced_content)
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import executor.client # runs the client script for validation
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@@ -1,3 +1,5 @@
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from src.constants import FLOW_URL_PLACEHOLDER
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executor_example = "Here is an example of how an executor can be defined. It always starts with a comment:"
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'''
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@@ -14,7 +16,7 @@ class MyExecutor(Executor):
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d.text = 'hello world'"
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return docs
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'''
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"An executor gets a DocumentArray as input and returns a DocumentArray as output."
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"An executor gets a DocumentArray as input and returns a DocumentArray as output. "
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docarray_example = (
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"A DocumentArray is a python class that can be seen as a list of Documents. "
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@@ -60,7 +62,7 @@ message DocumentProto {
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from jina import DocumentArray, Document
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d1 = Document(text='hello')
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d2 = Document(blob=b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x03L\x00\x00\x01\x18\x08\x06\x00\x00\x00o...')
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d2 = Document(blob=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x03L\\x00\\x00\\x01\\x18\\x08\\x06\\x00\\x00\\x00o...')
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d3 = Document(tensor=numpy.array([1, 2, 3]), chunks=[Document(uri=/local/path/to/file)]
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d4 = Document(
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uri='https://docs.docarray.org',
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@@ -69,9 +71,24 @@ d4 = Document(
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d5 = Document()
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d5.tensor = np.ones((2,4))
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d6 = Document()
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d6.blob = b'RIFF\x00\x00\x00\x00WAVEfmt \x10\x00...'
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d6.blob = b'RIFF\\x00\\x00\\x00\\x00WAVEfmt \\x10\\x00...'
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docs = DocumentArray([
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d1, d2, d3, d4
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])
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# the document has a helper function load_uri_to_blob:
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# For instance, d4.load_uri_to_blob() downloads the file from d4.uri and stores it in d4.blob.
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# If d4.uri was something like 'https://website.web/img.jpg', then d4.blob would be something like b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01...
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'''
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)
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)
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client_example = (
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"After the executor is deployed, it can be called via Jina Client. "
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"Here is an example of a client file: "
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f'''
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from jina import Client, Document, DocumentArray
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client = Client(host='{FLOW_URL_PLACEHOLDER}')
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d = Document(uri='data/img.png')
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d.load_uri_to_blob()
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response = client.post('/process', inputs=DocumentArray([d]))
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response[0].summary()
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''')
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@@ -1,36 +1,51 @@
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from src.constants import EXECUTOR_FILE_NAME, REQUIREMENTS_FILE_NAME, TEST_EXECUTOR_FILE_NAME, DOCKER_FILE_NAME, \
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DOCKER_FILE_TAG
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DOCKER_FILE_TAG, CLIENT_FILE_TAG, CLIENT_FILE_NAME
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general_guidelines = (
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"The code you write is production ready. "
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"Every file starts with comments describing what the code is doing before the first import. "
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"Comments can only be written between tags. "
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"Start from top-level and then fully implement all methods."
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)
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def general_guidelines():
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return (
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"General guidelines: "
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"The code you write is production ready. "
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"Every file starts with comments describing what the code is doing before the first import. "
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"Then all imports are listed. It is important to import all modules that could be needed in the executor code."
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"Comments can only be written between tags. "
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"Start from top-level and then fully implement all methods. "
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"\n"
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)
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def _task(task, tag_name, file_name):
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return task + f"The code will go into {file_name}. Wrap the code in the string $$$start_{tag_name}$$$...$$$end_{tag_name}$$$ "
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return task + f"The code will go into {file_name}. Wrap the code in the string $$$start_{tag_name}$$$...$$$end_{tag_name}$$$ \n\n"
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def executor_file_task():
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return _task("Write the executor code. ", 'executor', EXECUTOR_FILE_NAME)
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def executor_file_task(executor_name, input_executor_description, input_modality, input_doc_field,
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output_modality, output_doc_field):
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return _task(
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f"Write the executor called '{executor_name}'. "
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f"It matches the following description: '{input_executor_description}'. "
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f"It gets a DocumentArray as input where each document has the input modality '{input_modality}' that is stored in document.{input_doc_field}. "
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f"It returns a DocumentArray as output where each document has the output modality '{output_modality}' that is stored in document.{output_doc_field}. ",
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'executor',
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EXECUTOR_FILE_NAME
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)
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def requirements_file_task():
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return _task("Write the content of the requirements.txt file. "
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"Make sure to include pytest. "
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"All versions are fixed. " , 'requirements',
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"All versions are fixed. ", 'requirements',
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REQUIREMENTS_FILE_NAME)
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def test_executor_file_task(executor_name):
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def test_executor_file_task(executor_name, input_test_in, input_test_out):
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return _task(
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"Write a small unit test for the executor. "
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"Start the test with an extensive comment about the test case. "
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"Use the following import to import the executor: "
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f"from executor import {executor_name}",
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+ (
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"Test that the executor converts the input '" + input_test_in + "' to the output '" + input_test_out + "'. "
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) if input_test_in and input_test_out else ""
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"Use the following import to import the executor: "
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f"from executor import {executor_name} ",
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'test_executor',
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TEST_EXECUTOR_FILE_NAME
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)
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@@ -48,3 +63,9 @@ def docker_file_task():
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"The Dockerfile runs the test during the build process. "
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, DOCKER_FILE_TAG, DOCKER_FILE_NAME)
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def client_file_task():
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return _task(
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"Write the client file. "
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, CLIENT_FILE_TAG, CLIENT_FILE_NAME
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)
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@@ -9,3 +9,26 @@ def find_between(input_string, start, end):
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def clean_content(content):
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return content.replace('```', '').strip()
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def print_colored(headline, text, color_code):
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if color_code == 'black':
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color_code = '30'
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elif color_code == 'red':
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color_code = '31'
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elif color_code == 'green':
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color_code = '32'
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elif color_code == 'yellow':
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color_code = '33'
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elif color_code == 'blue':
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color_code = '34'
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elif color_code == 'magenta':
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color_code = '35'
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elif color_code == 'cyan':
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color_code = '36'
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elif color_code == 'white':
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color_code = '37'
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color_start = f"\033[{color_code}m"
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reset = "\033[0m"
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bold_start = "\033[1m"
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print(f"{bold_start}{color_start}{headline}{reset}")
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print(f"{color_start}{text}{reset}")
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