fix: search link node

examples/anthropic/search_link_graph_haiku.py

@@ -0,0 +1,57 @@
+"""
+Example of Search Graph
+"""
+import os
+from dotenv import load_dotenv
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+from langchain_openai import AzureChatOpenAI
+from langchain_openai import AzureOpenAIEmbeddings
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+load_dotenv()
+
+llm_model_instance = AzureChatOpenAI(
+    openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],
+    azure_deployment=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"]
+)
+
+embedder_model_instance = AzureOpenAIEmbeddings(
+    azure_deployment=os.environ["AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME"],
+    openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],
+)
+
+# ************************************************
+# Create the SmartScraperGraph instance and run it
+# ************************************************
+
+graph_config = {
+    "llm": {"model_instance": llm_model_instance},
+    "embeddings": {"model_instance": embedder_model_instance}
+}
+
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")

examples/azure/search_link_graph_azure.py

@@ -0,0 +1,52 @@
+"""
+Example of Search Graph
+"""
+import os
+from dotenv import load_dotenv
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+load_dotenv()
+
+groq_key = os.getenv("GROQ_APIKEY")
+
+graph_config = {
+    "llm": {
+        "model": "groq/gemma-7b-it",
+        "api_key": groq_key,
+        "temperature": 0
+    },
+     "embeddings": {
+        "model": "ollama/nomic-embed-text",
+        "temperature": 0,
+        # "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
+    },
+    "headless": False
+}
+
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")

examples/bedrock/search_link_graph_bedrock.py

@@ -0,0 +1,45 @@
+"""
+Example of Search Graph
+"""
+import os
+from dotenv import load_dotenv
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+graph_config = {
+    "llm": {
+        "client": "client_name",
+        "model": "bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
+        "temperature": 0.0
+    },
+    "embeddings": {
+        "model": "bedrock/cohere.embed-multilingual-v3"
+    }
+}
+
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")

examples/deepseek/search_link_graph_deepseek.py

@@ -0,0 +1,52 @@
+"""
+Example of Search Graph
+"""
+import os
+from dotenv import load_dotenv
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+load_dotenv()
+
+deepseek_key = os.getenv("DEEPSEEK_APIKEY")
+
+graph_config = {
+    "llm": {
+        "model": "deepseek-chat",
+        "openai_api_key": deepseek_key,
+        "openai_api_base": 'https://api.deepseek.com/v1',
+    },
+     "embeddings": {
+        "model": "ollama/nomic-embed-text",
+        "temperature": 0,
+        # "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
+    },
+    "verbose": True,
+}
+
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")

examples/ernie/search_graph_ernie.py

@@ -12,15 +12,18 @@
 # Define the configuration for the graph
 # ************************************************
 
-openai_key = os.getenv("OPENAI_APIKEY")
-
 graph_config = {
     "llm": {
-        "api_key": openai_key,
-        "model": "gpt-3.5-turbo",
-    },
-    "max_results": 2,
-    "verbose": True,
+            "model": "ernie-bot-turbo",
+            "ernie_client_id": "<ernie_client_id>",
+            "ernie_client_secret": "<ernie_client_secret>",
+            "temperature": 0.1
+        },
+        "embeddings": {
+            "model": "ollama/nomic-embed-text",
+            "temperature": 0,
+            "base_url": "http://localhost:11434"},
+    "library": "beautifulsoup"
 }
 
 # ************************************************

examples/ernie/search_link_graph_ernie.py

@@ -0,0 +1,46 @@
+"""
+Example of Search Graph
+"""
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+graph_config = {
+    "llm": {
+            "model": "ernie-bot-turbo",
+            "ernie_client_id": "<ernie_client_id>",
+            "ernie_client_secret": "<ernie_client_secret>",
+            "temperature": 0.1
+        },
+        "embeddings": {
+            "model": "ollama/nomic-embed-text",
+            "temperature": 0,
+            "base_url": "http://localhost:11434"},
+    "library": "beautifulsoup"
+}
+
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")

examples/fireworks/search_link_graph_fireworks.py

@@ -0,0 +1,52 @@
+"""
+Example of Search Graph
+"""
+import os
+from dotenv import load_dotenv
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+load_dotenv()
+
+fireworks_api_key = os.getenv("FIREWORKS_APIKEY")
+
+graph_config = {
+    "llm": {
+        "api_key": fireworks_api_key,
+        "model": "fireworks/accounts/fireworks/models/mixtral-8x7b-instruct"
+    },
+     "embeddings": {
+        "model": "ollama/nomic-embed-text",
+        "temperature": 0,
+        # "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
+    },
+    "max_results": 2,
+    "verbose": True,
+    "headless": False,
+}
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")

examples/gemini/search_link_graph_gemini.py

@@ -0,0 +1,44 @@
+"""
+Example of Search Graph
+"""
+import os
+from dotenv import load_dotenv
+from scrapegraphai.graphs import SearchGraph
+from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+load_dotenv()
+
+gemini_key = os.getenv("GOOGLE_APIKEY")
+
+graph_config = {
+    "llm": {
+        "api_key": gemini_key,
+        "model": "gemini-pro",
+    },
+}
+# ************************************************
+# Create the SearchGraph instance and run it
+# ************************************************
+
+search_graph = SearchGraph(
+    prompt="List me the best escursions near Trento",
+    config=graph_config
+)
+
+result = search_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = search_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))
+
+# Save to json and csv
+convert_to_csv(result, "result")
+convert_to_json(result, "result")