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Web and IoT

45 posts | Last Activity on 09-12-2024 05:47 by Kevin
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Kevin 09-12-2024 05:47, 1 month ago
Re: flattrade api - get access token - session key sample program
import requests import hashlib # Configuration API_KEY = "7868b2c697y64cb76586adf7c4c03874" API_SECRET = "2023.ecaf6c7cebe44e9d83c4e76597b2af7623316f4d1ca6c342" AUTH_URL = "https://auth.flattrade.in/?app_key={api_key}" # Replace `api_key` dynamically TOKEN_URL = "https://authapi.flattrade.in/trade/apitoken" # Endpoint for generating access token def generate_access_token(): """ Function to generate the access token by exchanging the request_code with the API. """ # Step 1: Provide the authentication URL print(f"Open the following URL in a browser to authenticate:\n{AUTH_URL.format(api_key=API_KEY)}") # Step 2: Enter the request code obtained from the redirect URL request_code = input("Enter the request_code from the redirect URL: ") # Step 3: Generate the SHA-256 hash hash_value = hashlib.sha256((API_KEY + request_code + API_SECRET).encode()).hexdigest() # Step 4: Prepare the payload payload = { "api_key": API_KEY, "request_code": request_code, "api_secret": hash_value } # Step 5: Make the API request to generate the token print("Requesting access token...") response = requests.post(TOKEN_URL, json=payload) # Debugging Output print("Response Status Code:", response.status_code) print("Response Content:", response.text) if response.status_code == 200: try: data = response.json() if "stat" in data and data["stat"] == "Ok": print("Access token generated successfully!") print(f"Token: {data['token']}") return data["token"] else: print(f"Error in API response: {data.get('emsg', 'Unknown error')}") except Exception as e: print(f"Error parsing response JSON: {str(e)}") else: print(f"Failed to generate access token. HTTP Status: {response.status_code}") return None # Main execution if __name__ == "__main__": token = generate_access_token() if token: print("Access Token:", token) else: print("Failed to generate an access token.")
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Kevin 09-12-2024 05:45, 1 month ago
Re: Flattrade api - place order sample program
import requests import json # Configuration with your details USER_ID = "XXXXXXX" # Your User ID (Client ID) ACCOUNT_ID = "XXXXXXX" # Your Account ID (same as User ID) ACCESS_TOKEN = "56f5c0a9ceee0ba5d357k232b7a55ca9cab5832f8447a77256ad264159b79177" # Your Access Token PLACE_ORDER_URL = "https://piconnect.flattrade.in/PiConnectTP/PlaceOrder" # Flattrade PlaceOrder API URL # Prepare the order data as a valid dictionary order_data = { "uid": USER_ID, # User ID "actid": ACCOUNT_ID, # Account ID "exch": "NSE", # Exchange (NSE, NFO, BSE, MCX) "tsym": "ACC-EQ", # Trading symbol (ensure this is correct) "qty": "50", # Quantity (ensure this is a valid number) "prc": "2254", # Price (ensure this is a valid number) "prd": "C", # Product type (CNC, NRML, etc.) "trantype": "B", # Transaction type ('B' for buy, 'S' for sell) "prctyp": "MKT", # Price type ('LMT', 'MKT', etc.) "ret": "DAY" # Retention type ('DAY', 'EOS', 'IOC') } # Convert the order data into a JSON string (simulating curl --data behavior) jData = json.dumps(order_data) # Prepare the payload (just like in the curl example) payload = f"jData={jData}&jKey={ACCESS_TOKEN}" # Set the headers to specify the content type headers = { "Content-Type": "application/x-www-form-urlencoded" # Use x-www-form-urlencoded format } # Make the API request to place the order response = requests.post(PLACE_ORDER_URL, headers=headers, data=payload) # Debugging output print("Response Status Code:", response.status_code) print("Response Content:", response.text) if response.status_code == 200: try: data = response.json() if data["stat"] == "Ok": print("Order placed successfully!") print("Order Details:") print(json.dumps(data, indent=4)) # Pretty print the order details else: print(f"Error in API response: {data.get('emsg', 'Unknown error')}") except Exception as e: print(f"Error parsing response JSON: {str(e)}") else: print(f"Failed to place order. HTTP Status: {response.status_code}")
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caa 23-11-2024 23:29, 2 months ago
Re: best ai video generator free 2025
Let me help you understand the current landscape of AI video generators. As of early 2024, here are some accessible options: 1. Runway (www.runway.ml) - Offers a free trial with limited features - Good for short video clips and simple edits - Text-to-video generation - Video styling and effects 2. Kapwing - Free tier available - Online video editor with AI features - Good for basic video creation and editing - Some templates available in free version 3. InVideo - Has a free plan - AI-powered video templates - Text-to-video functionality - Limited exports in free version 4. HeyGen - Limited free trial - Specializes in AI avatar videos - Good for creating talking head videos - Text-to-speech features Important considerations: - Free versions typically have limitations like watermarks, export restrictions, or limited processing time - Quality may be lower compared to paid versions - Most require account creation - Output resolution and length are often restricted in free tiers
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caa 22-11-2024 01:06, 2 months ago
Re: Cisco IoT Cloud Connect (IoTCC) errors
--- ### **6. Provisioning Errors** **Common Issues:** - Errors during initial device provisioning. - Failure to assign profiles or policies to devices. **Troubleshooting Steps:** 1. **Provisioning Workflow**: - Review the provisioning steps on the IoTCC portal. - Ensure profiles, such as APN settings and QoS policies, are correctly assigned. 2. **Bulk Provisioning**: - For bulk provisioning, ensure the CSV or JSON file used follows the required format. - Validate data consistency before uploading. --- ### **7. Platform-Specific Errors** **Common Issues:** - Cisco IoTCC platform downtime or performance degradation. - Missing features or configuration inconsistencies. **Troubleshooting Steps:** 1. **Platform Status**: - Check Cisco IoTCC’s status page or support portal for ongoing outages or maintenance. - Contact Cisco Support for unresolved platform-specific issues. 2. **Version Updates**: - Verify you are using the latest IoTCC features and configurations. - Check release notes for changes impacting functionality. --- ### **Gathering Logs for Support** If errors persist, collect logs and diagnostics for escalation: 1. **Device Logs**: Capture logs from IoT devices for connectivity and application errors. 2. **API Logs**: Save API request and response logs. 3. **IoTCC Portal Logs**: Export relevant activity logs from the IoTCC dashboard.
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caa 22-11-2024 01:06, 2 months ago
Re: Cisco IoT Cloud Connect (IoTCC) errors
### **4. Security and Access Errors** **Common Issues:** - Unauthorized access attempts flagged. - SSL/TLS handshake failures during secure communication. **Troubleshooting Steps:** 1. **Secure Communication**: - Ensure IoT devices support TLS 1.2 or later. - Check for mismatched certificates between devices and IoTCC. 2. **Firewall and VPN**: - Verify that network firewalls are configured to allow IoTCC traffic. - If using a VPN, ensure it supports IoTCC’s protocols. --- ### **5. API Errors** **Common Issues:** - HTTP 4xx or 5xx errors during API calls. - Specific error codes such as `403` (Forbidden), `404` (Not Found), or `500` (Internal Server Error). **Troubleshooting Steps:** 1. **API Endpoints**: - Double-check API endpoints for accuracy. - Use tools like Postman or `curl` to test endpoints manually. 2. **Rate Limits**: - Ensure you are not exceeding Cisco IoTCC API rate limits. - Implement retry mechanisms with exponential backoff. 3. **Error Logs**: - Review API response error messages for more details. - Common Cisco IoTCC API errors include: - `INVALID_REQUEST`: Syntax issues in API call. - `UNAUTHORIZED`: Authentication failure. - `RESOURCE_NOT_FOUND`: Invalid device ID or endpoint.
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caa 22-11-2024 01:05, 2 months ago
Re: Cisco IoT Cloud Connect (IoTCC) errors
### **2. Data Transmission Errors** **Common Issues:** - Delayed or dropped messages between IoT devices and the cloud. - Inconsistent or incomplete data received. **Troubleshooting Steps:** 1. **Data Format**: - Check if the device is sending data in the required format (e.g., JSON, XML). - Ensure compliance with IoTCC message schema. 2. **Bandwidth and Latency**: - Monitor cellular network bandwidth and latency. - Upgrade the cellular plan if usage exceeds limits. 3. **Device Firmware**: - Ensure the IoT device firmware is updated to the latest version. ### **3. Device Management Errors** **Common Issues:** - Inability to remotely manage or configure devices. - Device status not syncing with the IoTCC dashboard. **Troubleshooting Steps:** 1. **Management Agent**: - Confirm the device has the correct management agent installed. - Restart the agent and check logs for errors. 2. **Device Permissions**: - Verify device permissions on the Cisco IoTCC portal. - Ensure the account has proper rights to manage devices.
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caa 22-11-2024 01:05, 2 months ago
Re: Cisco IoT Cloud Connect (IoTCC) errors
Cisco IoT Cloud Connect (IoTCC) is a platform that facilitates secure and reliable connectivity for IoT devices over cellular networks. Errors in Cisco IoTCC may arise due to configuration issues, device incompatibilities, network problems, or platform-specific limitations. Below are common error categories in Cisco IoT Cloud Connect and tips to troubleshoot them: ### **1. Authentication and Connectivity Errors** **Common Issues:** - Invalid credentials during API access. - Device not registered with the IoTCC platform. - Connectivity failure between IoT device and IoTCC. **Troubleshooting Steps:** 1. **API Key or Token Validation**: - Ensure you are using the correct API key and secret token. - Check for token expiration and renew if necessary. 2. **Device Registration**: - Verify that the device is properly registered on the Cisco IoTCC portal. - Cross-check the device IMEI or unique identifier in the portal. 3. **Network Connectivity**: - Ensure the IoT device has active cellular connectivity. - Confirm the APN (Access Point Name) settings match those configured in Cisco IoTCC. ---
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caa 21-11-2024 11:12, 2 months ago
Re: text to video open source
Creating AI-generated videos from text is possible using several platforms that utilize advanced AI to convert scripts into videos, often with avatars, animations, and voiceovers. Here are some free or freemium tools you can use: AI Tools for Text-to-Video 1. Synthesia 2. Pictory 3. DeepBrain AI
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caa 21-11-2024 11:11, 2 months ago
Re: text to video open source
Steps to Create Text-to-Video Using Open-Source Tools Write Your Script: Prepare the text content to include in your video. Add Visuals: Use OpenShot or Kdenlive for a simple timeline-based editor. Use Manim for dynamic text animations. Add Text Overlays: Use tools like FFmpeg to add text overlays programmatically. Animate and Export: Use Blender or Manim for advanced animations. Export the video in your desired format.
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caa 17-11-2024 21:09, 2 months ago
Re: best ai clip generator
1. Pictory Description: Converts long-form content like blogs or video transcripts into short, engaging clips. Features: Automatic video summarization. Text-to-video from blog posts or articles. AI selects visuals and generates captions. Best For: Social media video creation and repurposing content. Pricing: Free trial, then starts at $19/month. Website: Pictory 2. Runway Description: A powerful AI video editing tool with text-to-video capabilities. Features: Text-to-video and text-to-image generation. Video editing, background removal, and motion tracking. AI-enhanced features like inpainting and stylization. Best For: High-quality video clip creation and editing with cutting-edge AI features. Pricing: Free trial, paid plans start at $15/month. Website: Runway 3. Synthesia Description: Allows users to create AI-generated video clips with virtual presenters. Features: Create videos using text input. Customize avatars and choose various languages and accents. Perfect for training videos, tutorials, and explainer content. Best For: Corporate and instructional content. Pricing: Starts at $30/month. Website: Synthesia
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caa 17-11-2024 11:21, 2 months ago
Re: why is rpa a good starting point on the journey towards ai?
### 3. **Foundation for Data Collection and Analysis** - **Data Generation**: RPA collects structured data from processes it automates, which can later be used to train AI models. - **Improved Data Quality**: By eliminating human errors in repetitive tasks, RPA ensures clean and consistent data, essential for AI applications. ### 4. **Bridge Between Rule-Based and Intelligent Automation** - **Rule-Based Logic**: RPA handles well-defined, deterministic tasks. - **Enhancing with AI**: Over time, AI can be integrated with RPA to handle more complex, judgment-based tasks such as decision-making, pattern recognition, and natural language processing (NLP). For example: - AI-enabled RPA bots can read unstructured data from emails using NLP. - Bots can learn from historical patterns using machine learning to predict outcomes. ### 5. **Change Management and Workforce Adaptation** - **Builds Automation Culture**: RPA introduces organizations to the concept of automation and helps employees adapt to working alongside digital workers. - **Skill Development**: Teams develop skills in process analysis and workflow optimization, which are transferable to AI projects. ### 6. **Scalable to AI** - **Modular Integration**: RPA tools like UiPath, Automation Anywhere, and Blue Prism are already integrating AI features (e.g., computer vision, OCR, and machine learning) into their platforms, making it easy to transition. - **Incremental AI Adoption**: Organizations can start small with RPA and gradually add AI capabilities, such as chatbots or predictive analytics, as they gain confidence and experience. ### 7. **Cost-Effective AI Prototyping** - RPA enables companies to test AI capabilities in specific areas (e.g., automating customer support with chatbots) without requiring a full-fledged AI implementation upfront. ### Real-World Example: A company starts with RPA to automate invoice processing. Over time: 1. They collect data on processing times and error rates. 2. Add AI to interpret unstructured invoices using OCR. 3. Integrate machine learning models to predict payment delays or fraud patterns.
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caa 17-11-2024 11:20, 2 months ago
Re: why is rpa a good starting point on the journey towards ai?
Robotic Process Automation (RPA) is an excellent starting point on the journey toward Artificial Intelligence (AI) because it lays the groundwork for understanding automation, improving efficiency, and driving digital transformation in businesses. Here are the key reasons why RPA serves as a stepping stone toward AI: ### 1. **Immediate Business Impact** - **Simplifies Processes**: RPA automates repetitive, rule-based tasks such as data entry, invoice processing, and report generation. - **Quick ROI**: Businesses see immediate cost savings and efficiency improvements, making it easier to justify investments in further AI adoption. ### 2. **Low Barrier to Entry** - **Ease of Implementation**: RPA requires minimal coding knowledge, enabling business users and teams to automate workflows without a deep technical background. - **Familiarization with Automation**: Teams gain experience in identifying tasks that can be automated, which is crucial for scaling up to AI-driven automation.
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caa 13-11-2024 11:10, 2 months ago
Re: Yahoo Finance developer api
### 5. Considerations and Limits - **Unofficial Access**: Since Yahoo Finance doesn’t have an official API, `yfinance` and similar methods may break if Yahoo changes their site structure. - **Terms of Use**: Always respect Yahoo Finance’s terms of service, particularly if scraping data. - **Rate Limits**: Be mindful of rate limits, especially when using RapidAPI or similar third-party providers. Using `yfinance` is generally the simplest and most effective method to access Yahoo Finance data. However, for professional and reliable applications, consider switching to a provider that offers official APIs, such as Alpha Vantage or IEX Cloud.
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caa 13-11-2024 11:09, 2 months ago
Re: Yahoo Finance developer api
### 4. Using Third-Party APIs for Yahoo Finance Data Several third-party providers wrap Yahoo Finance data in official APIs and offer more stable access. Examples include: - **RapidAPI**: Provides access to a Yahoo Finance API via RapidAPI. Some plans are free, while others require a subscription. - **Alpha Vantage, IEX Cloud, Twelve Data**: While not directly Yahoo Finance, these alternatives provide stock market data and are reliable for production use. #### Example with RapidAPI 1. [Sign up on RapidAPI for Yahoo Finance](https://rapidapi.com/apidojo/api/yahoo-finance1/). 2. Install the `requests` library if you haven't already. ```bash pip install requests ``` 3. Use the following code snippet to get started: ```python import requests url = "https://apidojo-yahoo-finance-v1.p.rapidapi.com/market/get-summary" headers = { "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY", "X-RapidAPI-Host": "apidojo-yahoo-finance-v1.p.rapidapi.com" } response = requests.get(url, headers=headers) data = response.json() print(data) ```
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caa 13-11-2024 11:09, 2 months ago
Re: Yahoo Finance developer api
```python # Get historical data for multiple tickers tickers = yf.Tickers("AAPL MSFT GOOG") data = tickers.history(period="1mo") print(data) ``` ### 3. Using Yahoo Finance’s Built-In JSON Endpoints (Advanced) For more control, you can send HTTP requests to Yahoo Finance’s hidden API endpoints, though this approach may be unstable. Yahoo Finance’s data is served as JSON objects embedded in the page source, which can be extracted using `requests` and `json`. #### Example: Scraping with Requests and JSON Here’s a simple example of how you could pull data, though keep in mind that scraping Yahoo Finance violates its terms of service. ```python import requests url = "https://query1.finance.yahoo.com/v8/finance/chart/AAPL?region=US&lang=en&includePrePost=false&interval=1d&range=1mo" response = requests.get(url) data = response.json() print(data) ```
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caa 13-11-2024 11:09, 2 months ago
Re: Yahoo Finance developer api
# Get other information info = stock.info print("Company info:", info) # Get dividend data dividends = stock.dividends print("Dividends:", dividends) # Get recommendations recommendations = stock.recommendations print("Recommendations:", recommendations) ``` ### 2. Accessing Multiple Tickers You can also fetch data for multiple tickers at once:
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caa 13-11-2024 11:08, 2 months ago
Re: Yahoo Finance developer api
Yahoo Finance doesn’t offer an official developer API, but you can still retrieve stock data through unofficial methods, such as third-party libraries or web scraping. Here are some ways you can work with Yahoo Finance data in Python: ### 1. Use `yfinance` Library (Unofficial API) The `yfinance` library, developed by Ran Aroussi, is one of the most popular ways to fetch Yahoo Finance data in Python. It’s easy to use and works well for accessing stock prices, historical data, and other market information. #### Installation ```bash pip install yfinance ``` #### Basic Usage Example ```python import yfinance as yf # Fetch data for a single stock (e.g., Apple) ticker = "AAPL" stock = yf.Ticker(ticker) # Get historical market data history = stock.history(period="1mo") # '1d', '5d', '1mo', '3mo', '6mo', '1y', etc. print(history)
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caa 12-11-2024 23:13, 2 months ago
Re: Home Depot api samples
### 5. **Custom Integrations with Home Depot’s In-Store API (for Partners)** - Home Depot offers B2B API solutions for select business partners, especially for supply chain and logistics. - **Steps**: - Contact Home Depot's B2B or wholesale division if you represent a business or logistics operation that could benefit from a partnership. --- For personal projects or product comparisons, data might be gathered from third-party providers or Google’s product catalog.
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caa 12-11-2024 23:13, 2 months ago
Re: Home Depot api samples
### 3. **Web Scraping (If Allowed)** - Web scraping can be an option for collecting data directly from Home Depot’s website if it aligns with their [terms of service](https://www.homedepot.com/c/Terms_of_Use). - **Tools**: Libraries like Python’s BeautifulSoup or Scrapy, combined with headless browsers (e.g., Selenium or Puppeteer), are commonly used. - **Considerations**: - Make sure scraping aligns with Home Depot’s policies, as some sites explicitly prohibit it. - Use respectful scraping techniques (e.g., rate-limiting requests). - Note that Home Depot’s site structure may frequently change, which could break your scraping logic. ### 4. **Google Shopping API** - Google Shopping pulls data from many online retailers, including Home Depot, which may be accessed via the Google Shopping API. - **Steps**: - You’ll need to apply for access to the Google Shopping API. - Once approved, you can query Google’s product catalog, which may include Home Depot products with some limitations on real-time stock and detailed specifications.
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caa 12-11-2024 23:13, 2 months ago
Re: Home Depot api samples
Home Depot does not provide a publicly available API for accessing product information, inventory, or pricing data in the way that, say, Amazon or eBay might for developers. However, there are a few ways you might consider approaching access to Home Depot data, depending on your needs: ### 1. **Home Depot Affiliate Program** - While there isn’t a public API, Home Depot offers an affiliate program through which approved partners can receive promotional material, links, and possibly some access to product data. - **Steps**: - Apply for the [Home Depot Affiliate Program](https://www.homedepot.com/c/affiliate). - Once approved, you may gain access to product links and promotional data feeds which could provide indirect access to product listings. ### 2. **Home Depot API via Partners (e.g., RapidAPI)** - Some third-party APIs on platforms like RapidAPI offer scraped or aggregated product data for large retailers, including Home Depot. - **Note**: These services are unofficial and may not have consistent access to Home Depot’s latest data. They could also be against Home Depot's terms of service, so exercise caution. - **Example**: - Search for "Home Depot" on platforms like [RapidAPI](https://rapidapi.com) to see if any unofficial APIs are available.
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