├── .github
└── workflows
│ ├── build.yml
│ └── test-branch-build.yml
├── .gitignore
├── LICENSE
├── README.md
├── env.example
├── requirements.txt
└── transaction_analysis.py
/.github/workflows/build.yml:
--------------------------------------------------------------------------------
1 | name: Build and Release
2 |
3 | on:
4 | push:
5 | tags:
6 | - 'v*'
7 | workflow_dispatch:
8 | inputs:
9 | release_name:
10 | description: 'Name of the release'
11 | required: true
12 | default: 'Manual Release'
13 |
14 | jobs:
15 | build:
16 | name: Build on ${{ matrix.os }}
17 | runs-on: ${{ matrix.os }}
18 | strategy:
19 | matrix:
20 | os: [ubuntu-latest, windows-latest]
21 | include:
22 | - os: ubuntu-latest
23 | output_name: transaction_analysis_linux
24 | - os: windows-latest
25 | output_name: transaction_analysis_windows.exe
26 |
27 | steps:
28 | - uses: actions/checkout@v2
29 |
30 | - name: Set up Python 3.9
31 | uses: actions/setup-python@v2
32 | with:
33 | python-version: 3.9
34 |
35 | - name: Install dependencies
36 | run: |
37 | python -m pip install --upgrade pip
38 | pip install pyinstaller
39 | pip install requests pandas python-dotenv tabulate
40 | pip freeze > requirements.txt
41 |
42 | - name: Create spec file
43 | run: |
44 | echo "# -*- mode: python ; coding: utf-8 -*-
45 |
46 | block_cipher = None
47 |
48 | a = Analysis(['transaction_analysis.py'],
49 | pathex=['.'],
50 | binaries=[],
51 | datas=[('requirements.txt', '.')],
52 | hiddenimports=['requests', 'pandas', 'dotenv', 'tabulate'],
53 | hookspath=[],
54 | hooksconfig={},
55 | runtime_hooks=[],
56 | excludes=[],
57 | win_no_prefer_redirects=False,
58 | win_private_assemblies=False,
59 | cipher=block_cipher,
60 | noarchive=False)
61 | pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
62 |
63 | exe = EXE(pyz,
64 | a.scripts,
65 | a.binaries,
66 | a.zipfiles,
67 | a.datas,
68 | [],
69 | name='${{ matrix.output_name }}',
70 | debug=False,
71 | bootloader_ignore_signals=False,
72 | strip=False,
73 | upx=True,
74 | upx_exclude=[],
75 | runtime_tmpdir=None,
76 | console=True,
77 | disable_windowed_traceback=False,
78 | target_arch=None,
79 | codesign_identity=None,
80 | entitlements_file=None )
81 | " > transaction_analysis.spec
82 |
83 | - name: Build binary
84 | run: pyinstaller transaction_analysis.spec
85 |
86 | - name: Upload artifact
87 | uses: actions/upload-artifact@v2
88 | with:
89 | name: ${{ matrix.output_name }}
90 | path: dist/${{ matrix.output_name }}*
91 |
92 | release:
93 | needs: build
94 | runs-on: ubuntu-latest
95 | permissions:
96 | contents: write
97 | steps:
98 | - name: Download artifacts
99 | uses: actions/download-artifact@v2
100 |
101 | - name: Create Release and Upload Assets
102 | uses: actions/github-script@v6
103 | with:
104 | github-token: ${{secrets.GITHUB_TOKEN}}
105 | script: |
106 | const fs = require('fs').promises;
107 | const { repo: { owner, repo }, sha } = context;
108 |
109 | const isTagPush = context.ref.startsWith('refs/tags/');
110 | const tagName = isTagPush ? context.ref.replace('refs/tags/', '') : `release-${sha.slice(0, 7)}`;
111 | const releaseName = context.payload.inputs ? context.payload.inputs.release_name : `Release ${tagName}`;
112 |
113 | const release = await github.rest.repos.createRelease({
114 | owner,
115 | repo,
116 | tag_name: tagName,
117 | name: releaseName,
118 | draft: false,
119 | prerelease: false
120 | });
121 |
122 | const assets = ['transaction_analysis_linux', 'transaction_analysis_windows.exe'];
123 | for (const asset of assets) {
124 | const filePath = `./${asset}/${asset}`;
125 | const fileContent = await fs.readFile(filePath);
126 | await github.rest.repos.uploadReleaseAsset({
127 | owner,
128 | repo,
129 | release_id: release.data.id,
130 | name: asset,
131 | data: fileContent
132 | });
133 | console.log(`Uploaded ${asset} to release ${release.data.id}`);
134 | }
135 |
136 | console.log(`Created release ${release.data.id} with name "${releaseName}" and tag "${tagName}"`);
137 |
--------------------------------------------------------------------------------
/.github/workflows/test-branch-build.yml:
--------------------------------------------------------------------------------
1 | name: Test Branch Build and Pre-Release
2 |
3 | on:
4 | push:
5 | branches:
6 | - test
7 | workflow_dispatch:
8 | inputs:
9 | release_name:
10 | description: 'Name of the pre-release (leave blank for auto-generated name)'
11 | required: false
12 | default: ''
13 |
14 | jobs:
15 | build:
16 | name: Build on ${{ matrix.os }}
17 | runs-on: ${{ matrix.os }}
18 | strategy:
19 | matrix:
20 | os: [ubuntu-latest, windows-latest]
21 | include:
22 | - os: ubuntu-latest
23 | output_name: transaction_analysis_linux_test
24 | - os: windows-latest
25 | output_name: transaction_analysis_windows_test.exe
26 |
27 | steps:
28 | - uses: actions/checkout@v2
29 | with:
30 | ref: test # Explicitly checkout the test branch
31 |
32 | - name: Set up Python 3.9
33 | uses: actions/setup-python@v2
34 | with:
35 | python-version: 3.9
36 |
37 | - name: Install dependencies
38 | run: |
39 | python -m pip install --upgrade pip
40 | pip install pyinstaller
41 | pip install requests pandas python-dotenv tabulate prettytable
42 | pip freeze > requirements.txt
43 |
44 | - name: Create spec file
45 | run: |
46 | echo "# -*- mode: python ; coding: utf-8 -*-
47 |
48 | block_cipher = None
49 |
50 | a = Analysis(['transaction_analysis.py'],
51 | pathex=['.'],
52 | binaries=[],
53 | datas=[('requirements.txt', '.')],
54 | hiddenimports=['requests', 'pandas', 'dotenv', 'tabulate', 'prettytable'],
55 | hookspath=[],
56 | hooksconfig={},
57 | runtime_hooks=[],
58 | excludes=[],
59 | win_no_prefer_redirects=False,
60 | win_private_assemblies=False,
61 | cipher=block_cipher,
62 | noarchive=False)
63 | pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
64 |
65 | exe = EXE(pyz,
66 | a.scripts,
67 | a.binaries,
68 | a.zipfiles,
69 | a.datas,
70 | [],
71 | name='${{ matrix.output_name }}',
72 | debug=False,
73 | bootloader_ignore_signals=False,
74 | strip=False,
75 | upx=True,
76 | upx_exclude=[],
77 | runtime_tmpdir=None,
78 | console=True,
79 | disable_windowed_traceback=False,
80 | target_arch=None,
81 | codesign_identity=None,
82 | entitlements_file=None )
83 | " > transaction_analysis.spec
84 |
85 | - name: Build binary
86 | run: pyinstaller transaction_analysis.spec
87 |
88 | - name: Upload artifact
89 | uses: actions/upload-artifact@v2
90 | with:
91 | name: ${{ matrix.output_name }}
92 | path: dist/${{ matrix.output_name }}*
93 |
94 | release:
95 | needs: build
96 | runs-on: ubuntu-latest
97 | permissions:
98 | contents: write
99 | steps:
100 | - uses: actions/checkout@v2
101 | with:
102 | ref: test # Explicitly checkout the test branch
103 |
104 | - name: Download artifacts
105 | uses: actions/download-artifact@v2
106 |
107 | - name: Create Pre-Release and Upload Assets
108 | uses: actions/github-script@v6
109 | with:
110 | github-token: ${{secrets.GITHUB_TOKEN}}
111 | script: |
112 | const fs = require('fs').promises;
113 | const { repo: { owner, repo }, sha } = context;
114 |
115 | const testBranchSha = await github.rest.git.getRef({
116 | owner,
117 | repo,
118 | ref: 'heads/test'
119 | }).then(res => res.data.object.sha);
120 |
121 | const tagName = `test-${testBranchSha.slice(0, 7)}`;
122 | const defaultReleaseName = `Test Branch Pre-Release ${tagName}`;
123 | const releaseName = context.payload.inputs && context.payload.inputs.release_name
124 | ? context.payload.inputs.release_name
125 | : defaultReleaseName;
126 |
127 | const release = await github.rest.repos.createRelease({
128 | owner,
129 | repo,
130 | tag_name: tagName,
131 | name: releaseName,
132 | draft: false,
133 | prerelease: true, // Mark as pre-release
134 | target_commitish: 'test' // Specify the test branch
135 | });
136 |
137 | const assets = ['transaction_analysis_linux_test', 'transaction_analysis_windows_test.exe'];
138 | for (const asset of assets) {
139 | const filePath = `./${asset}/${asset}`;
140 | const fileContent = await fs.readFile(filePath);
141 | await github.rest.repos.uploadReleaseAsset({
142 | owner,
143 | repo,
144 | release_id: release.data.id,
145 | name: asset,
146 | data: fileContent
147 | });
148 | console.log(`Uploaded ${asset} to pre-release ${release.data.id}`);
149 | }
150 |
151 | console.log(`Created pre-release ${release.data.id} with name "${releaseName}" and tag "${tagName}"`)
152 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | *.env
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | ### **PLEASE CONSIDER DONATING (SOL)- uGGim2n46EhwfU5X6eUB6rWQCmm3zJdpmLG7ZbHuisS**
2 | [Shyft API](https://shyft.to/) - USE CODE `JTSFBI0D` TO GET 10% OFF ON THEIR BILLING PLANS
3 |
4 | > [!CAUTION]
5 | > Please Rename your env file to `.env`
6 | # Solana Transaction Analyzer
7 | This Python script analyzes transactions for a given Solana account, providing statistics on transaction memos and their success rates.
8 | ## Features
9 |
10 | - Fetch transactions for a specified time range
11 | - Parse transaction data
12 | - Generate statistics based on transaction memos
13 | - Save transaction data to CSV files
14 | - Display results in a tabular format
15 |
16 | ## EXAMPLE
17 | ```
18 | Choose a time range for statistics:
19 | 1. 5 minutes
20 | 2. 10 minutes
21 | 3. 20 minutes
22 | 4. 30 minutes
23 | 5. 1 hour
24 | 6. 5 hours
25 | 7. 12 hours
26 | 8. 24 hours
27 | 9. 48 hours
28 | 10. 7 days
29 | 11. Exit
30 | Enter your choice (1-11): 7
31 | 2024-07-08 20:25:49,613 - INFO - Selected time range: 12:00:00
32 | Fetching and parsing transactions...
33 | API calls: 15, Parsed transactions from 2024-07-08 08:55:38 to 2024-07-08 10:05:05
34 | 2024-07-08 20:27:05,829 - INFO - Total API calls made: 16
35 | 2024-07-08 20:27:05,829 - INFO - Total transactions fetched: 1525
36 | 2024-07-08 20:27:05,833 - INFO - Saving 1525 transactions to csv\parse_GDGDGGDC_1720450625.csv
37 | 2024-07-08 20:27:05,843 - INFO - Successfully saved transactions to csv\parse_GFRFWFC_1720450625.csv
38 | Analyzing 1525 transactions...
39 | +-------------+---------+-----------+--------+-------------+----------+
40 | | Memo Type | Total | Success | Fail | Success % | Fail % |
41 | +=============+=========+===========+========+=============+==========+
42 | | TOTAL | 1525 | 1525 | 0 | 100.00% | 0.00% |
43 | +-------------+---------+-----------+--------+-------------+----------+
44 | | N/A | 18 | 18 | 0 | 100.00% | 0.00% |
45 | +-------------+---------+-----------+--------+-------------+----------+
46 | | 1 (jito) | 410 | 410 | 0 | 100.00% | 0.00% |
47 | +-------------+---------+-----------+--------+-------------+----------+
48 | | 3 (jito) | 568 | 568 | 0 | 100.00% | 0.00% |
49 | +-------------+---------+-----------+--------+-------------+----------+
50 | | 4 (jito) | 529 | 529 | 0 | 100.00% | 0.00% |
51 | +-------------+---------+-----------+--------+-------------+----------+
52 | ```
53 | ## Installation
54 |
55 | You have two options to install and run the Solana Transaction Analyzer:
56 |
57 | ### 1. Using Pre-built Binary (Recommended for most users)
58 |
59 | 1. Go to the [Releases page](https://github.com/Lucifer1590/solana-transaction-analyzer/releases) of the project.
60 | 2. Download the latest release for your operating system:
61 | - For Windows: Download `transaction_analysis_windows.exe`
62 | - For Linux: Download `transaction_analysis_linux`
63 | 3. Make the file executable (Linux only):
64 | ```
65 | chmod +x transaction_analysis_linux
66 | ```
67 | 4. Run the executable:
68 | - Windows: `transaction_analysis_windows.exe` or run it from the command prompt
69 | - Linux: `./transaction_analysis_linux`
70 | make sure the .env file is in same folder
71 | ### 2. Manual Installation (For developers or advanced users)
72 |
73 | 1. Clone this repository:
74 | ```
75 | git clone https://github.com/Lucifer1590/solana-transaction-analyzer.git
76 | cd solana-transaction-analyzer
77 | ```
78 |
79 | 2. Install the required dependencies:
80 | ```
81 | pip3 install requests pandas python-dotenv tabulate
82 | ```
83 |
84 | 3. Run the script using Python 3:
85 | ```
86 | python3 transaction_analysis.py
87 | ```
88 |
89 | ## Configuration
90 |
91 | After installation, follow these steps to configure the analyzer:
92 |
93 | 1. Create a `.env` file in the root directory of the project with the following content:
94 | (or edit the provided one from env.example to .env)
95 |
96 | ```
97 | #DONT CHANGE THIS
98 | API_URL=https://api.shyft.to/sol/v1/transaction/history
99 | #THIS TOO
100 | NETWORK=mainnet-beta
101 | #KEEPING THIS BLANK THE SCRIPT WILL ASK YOU FOR ACCOUNT EVERYTIME ITS RUN
102 | ACCOUNT=
103 | #YOUR SHYFT.IO API KEY
104 | API_KEY=your_api_key_here
105 | #FOR ADDITIONAL DEBUGGING
106 | DEBUG=false
107 | ```
108 |
109 | 2. Replace `your_api_key_here` with your actual Shyft API key.
110 | 3. Optionally, set an account address in the `ACCOUNT` field, or leave it blank to be prompted for it when running the script.
111 |
112 | Note: If you're using the pre-built binary, make sure to place the `.env` file in the same directory as the executable.
113 | ```
114 |
115 | ## Configuration
116 |
117 | 1. Create a `.env` file in the root directory of the project with the following content:
118 | or edit the provided one from env.example to .env
119 |
120 | ```
121 | #DONT CHANGE THIS
122 | API_URL=https://api.shyft.to/sol/v1/transaction/history
123 | #THIS TOO
124 | NETWORK=mainnet-beta
125 | #KEEPING THIS BLANK THE SCRIPT WILL ASK YOU FOR ACCOUNT EVERYTIME ITS RUN
126 | ACCOUNT=
127 | #YOUR SHYFT.IO API KEY
128 | API_KEY=your_api_key_here
129 | #FOR ADDITIONAL DEBUGGING
130 | DEBUG=false
131 | ```
132 |
133 | 2. Replace `your_api_key_here` with your actual Shyft API key.
134 | 3. Optionally, set an account address in the `ACCOUNT` field, or leave it blank to be prompted for it when running the script.
135 |
136 | ## Usage
137 |
138 | Run the script using Python 3:
139 |
140 | ```
141 | python3 transaction_analysis.py
142 | ```
143 |
144 | Follow the on-screen prompts to select a time range for analysis.
145 |
146 | ## Functions Overview
147 |
148 | - `get_account()`: Retrieves the account address from environment variables or user input.
149 | - `get_latest_transaction_signature()`: Fetches the latest transaction signature for the account.
150 | - `fetch_and_parse_transactions()`: Retrieves and parses transactions for the specified time range.
151 | - `parse_transaction()`: Extracts relevant information from a single transaction.
152 | - `generate_csv_filename()`: Creates a filename for the CSV output.
153 | - `save_to_csv()`: Saves parsed transactions to a CSV file.
154 | - `generate_stats()`: Calculates statistics based on transaction memos.
155 | - `print_results()`: Displays the analysis results in a tabular format.
156 |
157 | ## Output
158 |
159 | The script will create CSV files in a `csv` folder within the project directory. Each file contains the parsed transaction data for a specific analysis run.
160 |
161 | The analysis results will be displayed in the console, showing statistics for different memo types, including success and failure rates.
162 |
163 | ## Debugging
164 |
165 | Set `DEBUG=true` in the `.env` file to enable detailed logging.
166 |
167 | ## Contributing
168 |
169 | Contributions, issues, and feature requests are welcome. Feel free to check [issues page](https://github.com/Lucifer1590/solana-transaction-analyzer/issues) if you want to contribute.
170 |
171 | ## Author
172 |
173 | Lucifer1590 - [Testingguy](https://github.com/Lucifer1590)
174 | contact Discord - testingguy2
175 | ## Acknowledgments
176 |
177 | - [Shyft API](https://shyft.to/) for providing transaction data
178 | - [Solana](https://solana.com/) blockchain
179 |
--------------------------------------------------------------------------------
/env.example:
--------------------------------------------------------------------------------
1 | #DONT CHANGE THIS
2 | API_URL=https://api.shyft.to/sol/v1/transaction/history
3 | #THIS TOO
4 | NETWORK=mainnet-beta
5 | #KEEPING THIS BLANK THE SCRIPT WILL ASK YOU FOR ACCOUNT EVERYTIME ITS RUN
6 | ACCOUNT=GwbiCYn9WFDVDFVDFVDVFDVDFVDVDFVDYRAUX55bikNJiFJgM
7 | #YOUR SHYFT.IO API KEY
8 | API_KEY=
9 | #FOR ADDITIONAL DEBUGGING
10 | DEBUG=false
--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
1 | requests
2 | pandas
3 | python-dotenv
4 | tabulate
5 |
--------------------------------------------------------------------------------
/transaction_analysis.py:
--------------------------------------------------------------------------------
1 | import os
2 | import time
3 | import csv
4 | import requests
5 | import pandas as pd
6 | import logging
7 | from datetime import datetime, timedelta
8 | from tabulate import tabulate
9 | from dotenv import load_dotenv
10 | import sys
11 |
12 | # Load environment variables
13 | load_dotenv()
14 |
15 | # Constants
16 | API_URL = os.getenv('API_URL')
17 | NETWORK = os.getenv('NETWORK')
18 | ACCOUNT = os.getenv('ACCOUNT')
19 | API_KEY = os.getenv('API_KEY')
20 | DEBUG = os.getenv('DEBUG', 'false').lower() == 'true'
21 |
22 | CSV_HEADERS = ["Timestamp (UTC)", "Slot", "Status", "Fee", "Compute Unit", "Token Name", "Token In", "Profit", "Memo", "Signature"]
23 |
24 | # Create 'csv' folder if it doesn't exist
25 | csv_folder = 'csv'
26 | os.makedirs(csv_folder, exist_ok=True)
27 |
28 | # Set up logging
29 | logging.basicConfig(level=logging.DEBUG if DEBUG else logging.INFO,
30 | format='%(asctime)s - %(levelname)s - %(message)s')
31 | logger = logging.getLogger(__name__)
32 |
33 | def display_ascii_art():
34 | ascii_art = """
35 | # ##### ####### ##### # ##### ###### ## ## ##### ##### ## ## ### ###
36 | ## ## ## ## # ## ## ## ## ## ## ### ## ## ## ## ## ## ## ## ##
37 | ## ## ## ## ## #### ## ## ## ## ## ####
38 | ## #### ##### ## ## ####### ## #### ## #### ## ## ##
39 | ## ## ## ## ## ## #### ## ## ## ## ## ## ##
40 | ## ## # ## ## ## ## ## ### ## ## ## ## ## ## ##
41 | #### ####### ##### #### ###### ## ## ##### ##### ##### ####
42 |
43 | """
44 | print(ascii_art)
45 | print("Version 0.1-beta")
46 | print()
47 |
48 | def get_account():
49 | global ACCOUNT
50 | if not ACCOUNT:
51 | ACCOUNT = input("Please enter the account address: ")
52 | return ACCOUNT
53 |
54 | def get_latest_transaction_signature(api_url, network, account):
55 | logger.debug(f"Fetching latest transaction for account: {account}")
56 | headers = {"x-api-key": API_KEY}
57 | params = {
58 | "network": network,
59 | "account": account,
60 | "tx_num": 1,
61 | "enable_raw": "true",
62 | "enable_events": "true"
63 | }
64 | response = requests.get(api_url, headers=headers, params=params)
65 | if response.status_code == 200:
66 | data = response.json()
67 | if data.get("result"):
68 | signature = data["result"][0]["signatures"][0]
69 | block_time = data["result"][0]["raw"]["blockTime"]
70 | logger.debug(f"Latest transaction signature: {signature}, block time: {block_time}")
71 | return signature, block_time
72 | logger.error("Failed to fetch the latest transaction")
73 | return None, None
74 |
75 | def fetch_and_parse_transactions(api_url, network, account, time_delta):
76 | latest_signature, latest_block_time = get_latest_transaction_signature(api_url, network, account)
77 | if not latest_signature:
78 | logger.error("Failed to fetch the latest transaction.")
79 | return []
80 |
81 | end_time = datetime.fromtimestamp(latest_block_time)
82 | start_time = end_time - time_delta if time_delta else datetime.min
83 | logger.debug(f"Fetching transactions from {start_time} to {end_time}")
84 |
85 | transactions = []
86 | before_tx_signature = latest_signature
87 | api_calls = 0
88 | continue_fetching = True
89 |
90 | while continue_fetching:
91 | api_calls += 1
92 | logger.debug(f"API call #{api_calls}, before_tx_signature: {before_tx_signature}")
93 | params = {
94 | "network": network,
95 | "account": account,
96 | "tx_num": 100,
97 | "enable_raw": "true",
98 | "enable_events": "true",
99 | "before_tx_signature": before_tx_signature
100 | }
101 | response = requests.get(api_url, headers={"x-api-key": API_KEY}, params=params)
102 |
103 | if response.status_code != 200:
104 | logger.error(f"Error in API request: {response.status_code}, {response.text}")
105 | break
106 |
107 | data = response.json()
108 | batch = data.get("result", [])
109 |
110 | if not batch:
111 | logger.debug("No more transactions to fetch")
112 | break
113 |
114 | logger.debug(f"Fetched {len(batch)} transactions in this batch")
115 |
116 | batch_start_time = datetime.fromtimestamp(batch[-1]["raw"]["blockTime"])
117 | batch_end_time = datetime.fromtimestamp(batch[0]["raw"]["blockTime"])
118 |
119 | for tx in batch:
120 | tx_time = datetime.fromtimestamp(tx["raw"]["blockTime"])
121 | if start_time <= tx_time <= end_time:
122 | transactions.append(parse_transaction(tx))
123 | elif tx_time < start_time:
124 | continue_fetching = False
125 | break
126 |
127 | if continue_fetching and batch:
128 | before_tx_signature = batch[-1]["signatures"][0]
129 | else:
130 | break
131 |
132 | # Update progress
133 | progress_msg = f"\rAPI calls: {api_calls}, Parsed transactions from {batch_start_time} to {batch_end_time}"
134 | sys.stdout.write(progress_msg)
135 | sys.stdout.flush()
136 |
137 | print() # New line after progress updates
138 | transactions.reverse() # Reverse to get chronological order
139 | logger.info(f"Total API calls made: {api_calls}")
140 | logger.info(f"Total transactions fetched: {len(transactions)}")
141 | return transactions
142 |
143 | def parse_transaction(tx):
144 | block_time = tx.get('raw', {}).get('blockTime')
145 | blocktime_utc = datetime.utcfromtimestamp(block_time).strftime('%Y-%m-%d %H:%M:%S') if block_time else "N/A"
146 | signature = tx.get('signatures', ['N/A'])[0]
147 | slot = tx.get('raw', {}).get('slot', 'N/A')
148 | status = tx.get('status', 'N/A')
149 | compute_unit = tx.get('raw', {}).get('meta', {}).get('computeUnitsConsumed', 'N/A')
150 | fee = tx.get('raw', {}).get('meta', {}).get('fee', 'N/A')
151 |
152 | token_name = 'N/A'
153 | token_in = 'N/A'
154 | profit = 'N/A'
155 | if tx.get('actions') and len(tx['actions']) > 0:
156 | action = tx['actions'][0]
157 | token_info = action.get('info', {}).get('tokens_swapped', {}).get('in', {})
158 | token_name = token_info.get('symbol', 'N/A')
159 | token_in = token_info.get('amount', 'N/A')
160 |
161 | token_out = action.get('info', {}).get('tokens_swapped', {}).get('out', {}).get('amount', 'N/A')
162 | if token_in != 'N/A' and token_out != 'N/A':
163 | try:
164 | profit = float(token_out) - float(token_in)
165 | except ValueError:
166 | profit = 'N/A'
167 |
168 | memo = 'N/A'
169 | instructions = tx.get('raw', {}).get('transaction', {}).get('message', {}).get('instructions', [])
170 | for instruction in instructions:
171 | if instruction.get('parsed'):
172 | parsed = instruction['parsed']
173 | if isinstance(parsed, str) and parsed.strip():
174 | memo = parsed.strip()
175 | break
176 |
177 | return [blocktime_utc, slot, status, fee, compute_unit, token_name, token_in, profit, memo, signature]
178 |
179 | def generate_csv_filename(account, timestamp):
180 | wallet_prefix = account[:5]
181 | return f"parse_{wallet_prefix}_{timestamp}.csv"
182 |
183 | def save_to_csv(transactions, filename, headers, mode='w'):
184 | logger.info(f"Saving {len(transactions)} transactions to {filename}")
185 | with open(filename, mode, newline='', encoding='utf-8') as csvfile:
186 | writer = csv.writer(csvfile)
187 | if mode == 'w':
188 | writer.writerow(headers)
189 | writer.writerows(transactions)
190 | logger.info(f"Successfully saved transactions to {filename}")
191 |
192 | def generate_stats(df):
193 | logger.debug("Generating statistics from DataFrame")
194 | def analyze_memo_type(df, memo_type):
195 | if memo_type == "TOTAL":
196 | total = len(df)
197 | success = len(df[df['Status'] == 'Success'])
198 | fail = len(df[df['Status'] == 'Fail'])
199 | elif memo_type == "N/A":
200 | total = len(df[df['Memo'].isna() | (df['Memo'] == 'N/A')])
201 | success = len(df[(df['Status'] == 'Success') & (df['Memo'].isna() | (df['Memo'] == 'N/A'))])
202 | fail = len(df[(df['Status'] == 'Fail') & (df['Memo'].isna() | (df['Memo'] == 'N/A'))])
203 | else:
204 | total = len(df[df['Memo'] == memo_type])
205 | success = len(df[(df['Status'] == 'Success') & (df['Memo'] == memo_type)])
206 | fail = len(df[(df['Status'] == 'Fail') & (df['Memo'] == memo_type)])
207 |
208 | success_rate = (success / total * 100) if total > 0 else 0
209 | fail_rate = (fail / total * 100) if total > 0 else 0
210 |
211 | display_name = memo_type
212 | if memo_type != "TOTAL" and memo_type != "N/A":
213 | display_name += " (jito)" if "RPC" not in str(memo_type) else ""
214 |
215 | return [display_name, total, success, fail, f"{success_rate:.2f}%", f"{fail_rate:.2f}%"]
216 |
217 | # Convert 'Memo' column to string and replace NaN with 'N/A'
218 | df['Memo'] = df['Memo'].fillna('N/A').astype(str)
219 |
220 | # Get unique memos
221 | unique_memos = df['Memo'].unique().tolist()
222 | unique_memos = [memo for memo in unique_memos if memo != 'N/A']
223 | memo_types = ["TOTAL", "N/A"] + sorted(unique_memos)
224 |
225 | results = [analyze_memo_type(df, memo_type) for memo_type in memo_types]
226 |
227 | # Sort results: TOTAL and N/A first, then non-Jito, then Jito
228 | sorted_results = results[:2] # TOTAL and N/A
229 | non_jito = sorted([r for r in results[2:] if "jito" not in str(r[0]).lower()], key=lambda x: str(x[0]))
230 | jito = sorted([r for r in results[2:] if "jito" in str(r[0]).lower()], key=lambda x: str(x[0]))
231 | sorted_results.extend(non_jito)
232 | sorted_results.extend(jito)
233 |
234 | logger.debug("Statistics generation completed")
235 | return sorted_results
236 |
237 | def print_results(results):
238 | logger.debug("Printing results")
239 | headers = ["Memo Type", "Total", "Success", "Fail", "Success %", "Fail %"]
240 | non_zero_results = [row for row in results if row[1] > 0]
241 |
242 | print(tabulate(non_zero_results, headers=headers, tablefmt="grid"))
243 |
244 | def main():
245 | display_ascii_art()
246 | account = get_account()
247 | logger.info(f"Analysis for account: {account}")
248 |
249 | while True:
250 | print("\n PLEASE CONSIDER DONATING (SOL)- uGGim2n46EhwfU5X6eUB6rWQCmm3zJdpmLG7ZbHuisS ")
251 | print("\nChoose a time range for statistics:")
252 | print("1. 5 minutes")
253 | print("2. 10 minutes")
254 | print("3. 20 minutes")
255 | print("4. 30 minutes")
256 | print("5. 1 hour")
257 | print("6. 12 hours")
258 | print("7. 24 hours")
259 | print("8. 48 hours")
260 | print("9. 7 days")
261 | print("10. Exit")
262 |
263 |
264 | choice = input("Enter your choice (1-10): ")
265 |
266 | if choice == '10':
267 | logger.info("Exiting the program")
268 | print("Exiting the program. Goodbye!")
269 | break
270 |
271 | time_ranges = {
272 | '1': timedelta(minutes=5),
273 | '2': timedelta(minutes=10),
274 | '3': timedelta(minutes=20),
275 | '4': timedelta(minutes=30),
276 | '5': timedelta(hours=1),
277 | '6': timedelta(hours=12),
278 | '7': timedelta(hours=24),
279 | '8': timedelta(hours=48),
280 | '9': timedelta(days=7) # 7 days
281 | }
282 |
283 | if choice not in time_ranges:
284 | logger.warning(f"Invalid choice: {choice}")
285 | print("Invalid choice. Please try again.")
286 | continue
287 |
288 | time_delta = time_ranges[choice]
289 | logger.info(f"Selected time range: {time_delta}")
290 |
291 | print("Fetching and parsing transactions...")
292 | transactions = fetch_and_parse_transactions(API_URL, NETWORK, account, time_delta)
293 |
294 | if transactions:
295 | timestamp = int(time.time())
296 | csv_filename = generate_csv_filename(account, timestamp)
297 | csv_path = os.path.join(csv_folder, csv_filename)
298 | save_to_csv(transactions, csv_path, CSV_HEADERS)
299 |
300 | print(f"Analyzing {len(transactions)} transactions...")
301 | df = pd.read_csv(csv_path)
302 | results = generate_stats(df)
303 | print_results(results)
304 | else:
305 | print("No transactions found for the selected time range.")
306 |
307 | if __name__ == "__main__":
308 | main()
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