Drop support for Ledger as a separate content type

Khoj will soon get a generic text indexing content type. This along
with a file filter should suffice for searching through Ledger
transactions, if required.

Having a specific content type for niche use-case like ledger isn't
useful. Removing unused content types will reduce khoj code to manage.
This commit is contained in:
Debanjum Singh Solanky 2023-07-02 16:49:51 -07:00
parent c9db5321e7
commit 0f993b332e
19 changed files with 18 additions and 635 deletions

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@ -64,7 +64,7 @@
- **General**
- **Natural**: Advanced natural language understanding using Transformer based ML Models
- **Pluggable**: Modular architecture makes it easy to plug in new data sources, frontends and ML models
- **Multiple Sources**: Index your Org-mode and Markdown notes, Beancount transactions, PDF files, Github repositories, and Photos
- **Multiple Sources**: Index your Org-mode and Markdown notes, PDF files, Github repositories, and Photos
- **Multiple Interfaces**: Interact from your [Web Browser](./src/khoj/interface/web/index.html), [Emacs](./src/interface/emacs/khoj.el) or [Obsidian](./src/interface/obsidian/)
## Demos
@ -267,7 +267,7 @@ pip install --upgrade --pre khoj-assistant
2. [Install](https://tailscale.com/kb/installation/) [Tailscale](tailscale.com/) on your personal server and phone
3. Open the Khoj web interface of the server from your phone browser.<br /> It should be `http://tailscale-ip-of-server:8000` or `http://name-of-server:8000` if you've setup [MagicDNS](https://tailscale.com/kb/1081/magicdns/)
4. Click the [Add to Homescreen](https://developer.mozilla.org/en-US/docs/Web/Progressive_web_apps/Add_to_home_screen) button
5. Enjoy exploring your notes, transactions and images from your phone!
5. Enjoy exploring your notes, documents and images from your phone!
![](https://github.com/khoj-ai/khoj/blob/master/docs/khoj_pwa_android.png?)
@ -399,7 +399,7 @@ pip install -e .[dev]
- Delete `content-type` and `processor` sub-section(s) irrelevant for your use-case
- Restart khoj
Note: Wait after configuration for khoj to Load ML model, generate embeddings and expose API to query notes, images, transactions etc specified in config YAML
Note: Wait after configuration for khoj to Load ML model, generate embeddings and expose API to query notes, images, documents etc specified in config YAML
#### Using Docker
##### 1. Clone
@ -410,7 +410,7 @@ git clone https://github.com/khoj-ai/khoj && cd khoj
##### 2. Configure
- **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes, pdf, Github repositories, and beancount directories
- **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes, PDFs and Github repositories
- **Optional**: Edit application configuration in [khoj_docker.yml](./config/khoj_docker.yml)
##### 3. Run
@ -449,7 +449,7 @@ python3 -m pip install pyqt6 # As conda does not support pyqt6 yet
```shell
python3 -m src.khoj.main -vv
```
Load ML model, generate embeddings and expose API to query notes, images, transactions etc specified in config YAML
Load ML model, generate embeddings and expose API to query notes, images, documents etc specified in config YAML
##### 5. Upgrade
```shell

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@ -18,7 +18,6 @@ services:
# must match the path prefix in your config file.
- ./tests/data/org/:/data/org/
- ./tests/data/images/:/data/images/
- ./tests/data/ledger/:/data/ledger/
- ./tests/data/markdown/:/data/markdown/
- ./tests/data/pdf/:/data/pdf/
# Embeddings and models are populated after the first run

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@ -19,7 +19,6 @@ keywords = [
"AI",
"org-mode",
"markdown",
"beancount",
"images",
"pdf",
]

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@ -4,7 +4,7 @@
;; Author: Debanjum Singh Solanky <debanjum@gmail.com>
;; Description: An AI personal assistant for your digital brain
;; Keywords: search, chat, org-mode, outlines, markdown, pdf, beancount, image
;; Keywords: search, chat, org-mode, outlines, markdown, pdf, image
;; Version: 0.7.0
;; Package-Requires: ((emacs "27.1") (transient "0.3.0") (dash "2.19.1"))
;; URL: https://github.com/khoj-ai/khoj/tree/master/src/interface/emacs
@ -29,8 +29,7 @@
;;; Commentary:
;; Create an AI personal assistant for your `org-mode', `markdown' notes,
;; `beancount' transactions, PDFs and images. This package exposes
;; two assistance modes, search and chat:
;; PDFs and images. The assistant exposes 2 modes, search and chat:
;;
;; Chat provides faster answers, iterative discovery and assisted
;; creativity. It requires your OpenAI API key to access GPT models
@ -93,7 +92,6 @@
:group 'khoj
:type '(choice (const "org")
(const "markdown")
(const "ledger")
(const "image")
(const "pdf")))
@ -119,7 +117,6 @@
(declare-function org-element-property "org-mode" (PROPERTY ELEMENT))
(declare-function org-element-type "org-mode" (ELEMENT))
(declare-function beancount-mode "beancount" ())
(declare-function markdown-mode "markdown-mode" ())
(declare-function which-key--show-keymap "which-key" (KEYMAP-NAME KEYMAP &optional PRIOR-ARGS ALL
NO-PAGING FILTER))
@ -135,8 +132,6 @@ NO-PAGING FILTER))
"C-x m | markdown\n")
(when (member 'org enabled-content-types)
"C-x o | org-mode\n")
(when (member 'ledger enabled-content-types)
"C-x l | ledger\n")
(when (member 'image enabled-content-types)
"C-x i | image\n")
(when (member 'pdf enabled-content-types)
@ -146,7 +141,6 @@ NO-PAGING FILTER))
(defvar khoj--reference-count 0 "Track number of references currently in chat bufffer.")
(defun khoj--search-markdown () "Set content-type to `markdown'." (interactive) (setq khoj--content-type "markdown"))
(defun khoj--search-org () "Set content-type to `org-mode'." (interactive) (setq khoj--content-type "org"))
(defun khoj--search-ledger () "Set content-type to `ledger'." (interactive) (setq khoj--content-type "ledger"))
(defun khoj--search-images () "Set content-type to image." (interactive) (setq khoj--content-type "image"))
(defun khoj--search-pdf () "Set content-type to pdf." (interactive) (setq khoj--content-type "pdf"))
(defun khoj--improve-rank () "Use cross-encoder to rerank search results." (interactive) (khoj--incremental-search t))
@ -159,8 +153,6 @@ NO-PAGING FILTER))
(define-key kmap (kbd "C-x m") #'khoj--search-markdown))
(when (member 'org enabled-content-types)
(define-key kmap (kbd "C-x o") #'khoj--search-org))
(when (member 'ledger enabled-content-types)
(define-key kmap (kbd "C-x l") #'khoj--search-ledger))
(when (member 'image enabled-content-types)
(define-key kmap (kbd "C-x i") #'khoj--search-images))
(when (member 'pdf enabled-content-types)
@ -531,18 +523,6 @@ CONFIG is json obtained from Khoj config API."
;; remove leading (, ) or SPC from extracted entries string
(replace-regexp-in-string "^[\(\) ]" "")))
(defun khoj--extract-entries-as-ledger (json-response query)
"Convert JSON-RESPONSE, QUERY from API to ledger entries."
(thread-last json-response
;; extract and render entries from API response
(mapcar (lambda (args) (format "%s\n\n" (cdr (assoc 'entry args)))))
;; Set query as heading in rendered results buffer
(format ";; %s\n\n%s\n" query)
;; remove leading (, ) or SPC from extracted entries string
(replace-regexp-in-string "^[\(\) ]" "")
;; remove trailing (, ) or SPC from extracted entries string
(replace-regexp-in-string "[\(\) ]$" "")))
(defun khoj--extract-entries-as-pdf (json-response query)
"Convert QUERY, JSON-RESPONSE from API with PDF results to `org-mode' entries."
(thread-last
@ -614,7 +594,6 @@ CONFIG is json obtained from Khoj config API."
(let ((enabled-content-types (khoj--get-enabled-content-types))
(file-extension (file-name-extension buffer-name)))
(cond
((and (member 'ledger enabled-content-types) (or (equal file-extension "bean") (equal file-extension "beancount"))) "ledger")
((and (member 'org enabled-content-types) (equal file-extension "org")) "org")
((and (member 'org enabled-content-types) (equal file-extension "pdf")) "pdf")
((and (member 'markdown enabled-content-types) (or (equal file-extension "markdown") (equal file-extension "md"))) "markdown")
@ -673,7 +652,6 @@ Render results in BUFFER-NAME using QUERY, CONTENT-TYPE."
(cond ((equal content-type "org") (khoj--extract-entries-as-org json-response query))
((equal content-type "markdown") (khoj--extract-entries-as-markdown json-response query))
((equal content-type "pdf") (khoj--extract-entries-as-pdf json-response query))
((equal content-type "ledger") (khoj--extract-entries-as-ledger json-response query))
((equal content-type "image") (khoj--extract-entries-as-images json-response query))
(t (khoj--extract-entries json-response query))))
(cond ((or (equal content-type "all")
@ -688,7 +666,6 @@ Render results in BUFFER-NAME using QUERY, CONTENT-TYPE."
(org-set-startup-visibility)))
((equal content-type "markdown") (progn (markdown-mode)
(visual-line-mode)))
((equal content-type "ledger") (beancount-mode))
((equal content-type "image") (progn (shr-render-region (point-min) (point-max))
(goto-char (point-min))))
(t (fundamental-mode))))
@ -1004,7 +981,7 @@ Paragraph only starts at first text after blank line."
;; set content type to: last used > based on current buffer > default type
:init-value (lambda (obj) (oset obj value (format "--content-type=%s" (or khoj--content-type (khoj--buffer-name-to-content-type (buffer-name))))))
;; dynamically set choices to content types enabled on khoj backend
:choices (or (ignore-errors (mapcar #'symbol-name (khoj--get-enabled-content-types))) '("all" "org" "markdown" "pdf" "ledger" "image")))
:choices (or (ignore-errors (mapcar #'symbol-name (khoj--get-enabled-content-types))) '("all" "org" "markdown" "pdf" "image")))
(transient-define-suffix khoj--search-command (&optional args)
(interactive (list (transient-args transient-current-command)))
@ -1064,7 +1041,7 @@ Paragraph only starts at first text after blank line."
;;;###autoload
(defun khoj ()
"Provide natural, search assistance for your notes, transactions and images."
"Provide natural, search assistance for your notes, documents and images."
(interactive)
(when khoj-auto-setup
(khoj-setup t))

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@ -112,46 +112,6 @@ Rule everything\n\
\n"))))
(ert-deftest khoj-tests--extract-entries-as-ledger ()
"Test `json-response', `query' from API formatted as beancount ledger."
(let ((user-query "Become God")
(json-response-from-khoj-backend
(json-read-from-string
"[\
{\
\"entry\": \"4242-04-01 * \\\"Penance Center\\\" \\\"Book Stay for 10,000 Years\\\"\\n Expenses:Health:Mental 15 GOLD\\n Assets:Commodities:Gold\",\
\"score\": \"0.42\",\
\"additional\": {\
\"file\": \"/home/ravan/ledger.beancount\",\
\"compiled\": \"4242-04-01 * \\\"Penance Center\\\" \\\"Book Stay for 10,000 Years\\\" Expenses:Health:Mental 15 GOLD Assets:Commodities:Gold\"\
}\
},\
{\
\"entry\": \"14242-04-01 * \\\"Brahma\\\" \\\"Boon for Invincibility from Higher Beings\\\"\\n Income:Health -1,00,00,000 LIFE\\n Assets:Commodities:Life\",\
\"score\": \"0.42\",\
\"additional\": {\
\"file\": \"/home/ravan/ledger.beancount\",\
\"compiled\": \"4242-04-01 * \\\"Brahma\\\" \\\"Boon for Invincibility from Higher Beings\\\" Income:Health -1,00,00,000 LIFE Assets:Commodities:Life\"\
}\
}]\
")))
(should
(equal
(khoj--extract-entries-as-ledger json-response-from-khoj-backend user-query)
";; Become God\n\
\n\
4242-04-01 * \"Penance Center\" \"Book Stay for 10,000 Years\"\n\
Expenses:Health:Mental 15 GOLD\n\
Assets:Commodities:Gold\n\
\n\
14242-04-01 * \"Brahma\" \"Boon for Invincibility from Higher Beings\"\n\
Income:Health -1,00,00,000 LIFE\n\
Assets:Commodities:Life\n\
\n\
\n\
"))))
;; -------------------------------------
;; Test Helpers for Find Similar Feature

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@ -12,7 +12,6 @@ from fastapi.staticfiles import StaticFiles
# Internal Packages
from khoj.processor.conversation.gpt import summarize
from khoj.processor.ledger.beancount_to_jsonl import BeancountToJsonl
from khoj.processor.jsonl.jsonl_to_jsonl import JsonlToJsonl
from khoj.processor.markdown.markdown_to_jsonl import MarkdownToJsonl
from khoj.processor.org_mode.org_to_jsonl import OrgToJsonl
@ -122,18 +121,6 @@ def configure_search(model: SearchModels, config: FullConfig, regenerate: bool,
filters=[DateFilter(), WordFilter(), FileFilter()],
)
# Initialize Ledger Search
if (t == state.SearchType.Ledger or t == None) and config.content_type.ledger and config.search_type.symmetric:
logger.info("💸 Setting up search for ledger")
# Extract Entries, Generate Ledger Embeddings
model.ledger_search = text_search.setup(
BeancountToJsonl,
config.content_type.ledger,
search_config=config.search_type.symmetric,
regenerate=regenerate,
filters=[DateFilter(), WordFilter(), FileFilter()],
)
# Initialize PDF Search
if (t == state.SearchType.Pdf or t == None) and config.content_type.pdf and config.search_type.asymmetric:
logger.info("🖨️ Setting up search for pdf")

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@ -47,12 +47,6 @@
}).join("\n");
}
function render_ledger(query, data) {
return data.map(function (item) {
return `<div class="results-ledger">` + `<p>${item.entry}</p>` + `</div>`;
}).join("\n");
}
function render_pdf(query, data) {
return data.map(function (item) {
let compiled_lines = item.additional.compiled.split("\n");
@ -90,8 +84,6 @@
results = render_org(query, data, "org-");
} else if (type === "image") {
results = data.map(render_image).join('');
} else if (type === "ledger") {
results = render_ledger(query, data);
} else if (type === "pdf") {
results = render_pdf(query, data);
} else if (type === "github" || type === "all") {
@ -360,8 +352,7 @@
white-space: pre-wrap;
}
.results-pdf,
.results-plugin,
.results-ledger {
.results-plugin {
text-align: left;
white-space: pre-line;
}

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@ -143,19 +143,15 @@ search_type = """
Objective: Extract search type from user query and return information as JSON
Allowed search types are listed below:
- search-type=["notes","ledger","image", "pdf"]
- search-type=["notes", "image", "pdf"]
Some examples are given below for reference:
Q:What fiction book was I reading last week about AI starship?
A:{ "search-type": "notes" }
Q: What did the lease say about early termination
A: { "search-type": "pdf" }
Q:How much did I spend at Subway for dinner last time?
A:{ "search-type": "ledger" }
Q:Can you recommend a movie to watch from my notes?
A:{ "search-type": "notes" }
Q:When did I buy Groceries last?
A:{ "search-type": "ledger" }
Q:When did I go surfing last?
A:{ "search-type": "notes" }
Q:"""

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@ -1,133 +0,0 @@
# Standard Packages
import glob
import re
import logging
from typing import List
# Internal Packages
from khoj.processor.text_to_jsonl import TextToJsonl
from khoj.utils.helpers import get_absolute_path, is_none_or_empty, timer
from khoj.utils.constants import empty_escape_sequences
from khoj.utils.jsonl import dump_jsonl, compress_jsonl_data
from khoj.utils.rawconfig import Entry
logger = logging.getLogger(__name__)
class BeancountToJsonl(TextToJsonl):
# Define Functions
def process(self, previous_entries=None):
# Extract required fields from config
beancount_files, beancount_file_filter, output_file = (
self.config.input_files,
self.config.input_filter,
self.config.compressed_jsonl,
)
# Input Validation
if is_none_or_empty(beancount_files) and is_none_or_empty(beancount_file_filter):
print("At least one of beancount-files or beancount-file-filter is required to be specified")
exit(1)
# Get Beancount Files to Process
beancount_files = BeancountToJsonl.get_beancount_files(beancount_files, beancount_file_filter)
# Extract Entries from specified Beancount files
with timer("Parse transactions from Beancount files into dictionaries", logger):
current_entries = BeancountToJsonl.convert_transactions_to_maps(
*BeancountToJsonl.extract_beancount_transactions(beancount_files)
)
# Split entries by max tokens supported by model
with timer("Split entries by max token size supported by model", logger):
current_entries = self.split_entries_by_max_tokens(current_entries, max_tokens=256)
# Identify, mark and merge any new entries with previous entries
with timer("Identify new or updated transaction", logger):
if not previous_entries:
entries_with_ids = list(enumerate(current_entries))
else:
entries_with_ids = TextToJsonl.mark_entries_for_update(
current_entries, previous_entries, key="compiled", logger=logger
)
with timer("Write transactions to JSONL file", logger):
# Process Each Entry from All Notes Files
entries = list(map(lambda entry: entry[1], entries_with_ids))
jsonl_data = BeancountToJsonl.convert_transaction_maps_to_jsonl(entries)
# Compress JSONL formatted Data
if output_file.suffix == ".gz":
compress_jsonl_data(jsonl_data, output_file)
elif output_file.suffix == ".jsonl":
dump_jsonl(jsonl_data, output_file)
return entries_with_ids
@staticmethod
def get_beancount_files(beancount_files=None, beancount_file_filters=None):
"Get Beancount files to process"
absolute_beancount_files, filtered_beancount_files = set(), set()
if beancount_files:
absolute_beancount_files = {get_absolute_path(beancount_file) for beancount_file in beancount_files}
if beancount_file_filters:
filtered_beancount_files = {
filtered_file
for beancount_file_filter in beancount_file_filters
for filtered_file in glob.glob(get_absolute_path(beancount_file_filter), recursive=True)
}
all_beancount_files = sorted(absolute_beancount_files | filtered_beancount_files)
files_with_non_beancount_extensions = {
beancount_file
for beancount_file in all_beancount_files
if not beancount_file.endswith(".bean") and not beancount_file.endswith(".beancount")
}
if any(files_with_non_beancount_extensions):
print(f"[Warning] There maybe non beancount files in the input set: {files_with_non_beancount_extensions}")
logger.debug(f"Processing files: {all_beancount_files}")
return all_beancount_files
@staticmethod
def extract_beancount_transactions(beancount_files):
"Extract entries from specified Beancount files"
# Initialize Regex for extracting Beancount Entries
transaction_regex = r"^\n?\d{4}-\d{2}-\d{2} [\*|\!] "
empty_newline = f"^[\n\r\t\ ]*$"
entries = []
transaction_to_file_map = []
for beancount_file in beancount_files:
with open(beancount_file) as f:
ledger_content = f.read()
transactions_per_file = [
entry.strip(empty_escape_sequences)
for entry in re.split(empty_newline, ledger_content, flags=re.MULTILINE)
if re.match(transaction_regex, entry)
]
transaction_to_file_map += zip(transactions_per_file, [beancount_file] * len(transactions_per_file))
entries.extend(transactions_per_file)
return entries, dict(transaction_to_file_map)
@staticmethod
def convert_transactions_to_maps(parsed_entries: List[str], transaction_to_file_map) -> List[Entry]:
"Convert each parsed Beancount transaction into a Entry"
entries = []
for parsed_entry in parsed_entries:
entries.append(
Entry(compiled=parsed_entry, raw=parsed_entry, file=f"{transaction_to_file_map[parsed_entry]}")
)
logger.debug(f"Converted {len(parsed_entries)} transactions to dictionaries")
return entries
@staticmethod
def convert_transaction_maps_to_jsonl(entries: List[Entry]) -> str:
"Convert each Beancount transaction entry to JSON and collate as JSONL"
return "".join([f"{entry.to_json()}\n" for entry in entries])

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@ -171,11 +171,9 @@ async def search(
defiltered_query = filter.defilter(user_query)
encoded_asymmetric_query = None
if t == SearchType.All or (t != SearchType.Ledger and t != SearchType.Image):
if t == SearchType.All or t != SearchType.Image:
text_search_models: List[TextSearchModel] = [
model
for model_name, model in state.model.__dict__.items()
if isinstance(model, TextSearchModel) and model_name != "ledger_search"
model for model in state.model.__dict__.values() if isinstance(model, TextSearchModel)
]
if text_search_models:
with timer("Encoding query took", logger=logger):
@ -244,19 +242,6 @@ async def search(
)
]
if (t == SearchType.Ledger) and state.model.ledger_search:
# query transactions
search_futures += [
executor.submit(
text_search.query,
user_query,
state.model.ledger_search,
rank_results=r or False,
score_threshold=score_threshold,
dedupe=dedupe or True,
)
]
if (t == SearchType.Image) and state.model.image_search:
# query images
search_futures += [

View file

@ -16,7 +16,7 @@ import json
web_client = APIRouter()
templates = Jinja2Templates(directory=constants.web_directory)
VALID_CONTENT_TYPES = ["org", "ledger", "markdown", "pdf"]
VALID_TEXT_CONTENT_TYPES = ["org", "markdown", "pdf"]
# Create Routes
@ -60,7 +60,7 @@ if not state.demo:
@web_client.get("/config/content_type/{content_type}", response_class=HTMLResponse)
def content_config_page(request: Request, content_type: str):
if content_type not in VALID_CONTENT_TYPES:
if content_type not in VALID_TEXT_CONTENT_TYPES:
return templates.TemplateResponse("config.html", context={"request": request})
default_copy = constants.default_config.copy()

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@ -19,7 +19,6 @@ if TYPE_CHECKING:
class SearchType(str, Enum):
All = "all"
Org = "org"
Ledger = "ledger"
Markdown = "markdown"
Image = "image"
Pdf = "pdf"
@ -60,7 +59,6 @@ class ImageSearchModel:
@dataclass
class SearchModels:
org_search: TextSearchModel = None
ledger_search: TextSearchModel = None
markdown_search: TextSearchModel = None
pdf_search: TextSearchModel = None
image_search: ImageSearchModel = None

View file

@ -22,12 +22,6 @@ default_config = {
"compressed-jsonl": "~/.khoj/content/markdown/markdown.jsonl.gz",
"embeddings-file": "~/.khoj/content/markdown/markdown_embeddings.pt",
},
"ledger": {
"input-files": None,
"input-filter": None,
"compressed-jsonl": "~/.khoj/content/ledger/ledger.jsonl.gz",
"embeddings-file": "~/.khoj/content/ledger/ledger_embeddings.pt",
},
"pdf": {
"input-files": None,
"input-filter": None,

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@ -72,7 +72,6 @@ class ImageContentConfig(ConfigBase):
class ContentConfig(ConfigBase):
org: Optional[TextContentConfig]
ledger: Optional[TextContentConfig]
image: Optional[ImageContentConfig]
markdown: Optional[TextContentConfig]
pdf: Optional[TextContentConfig]

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@ -1,233 +0,0 @@
; -*- mode: org; mode: beancount; -*-
;; Otzi's Ledger: A 3rd Millenium B.C Mountain Shepherd's Ledger
;;
;; A stylized recreation of Otzi's transaction history from a few months before his death
;; based on https://en.wikipedia.org/wiki/Otzi#Scientific_analyses
* Options ; Beancount options
#+STARTUP: content
option "title" "Beancount Ledger"
option "operating_currency" "COWRIE" ; The main currencies you use
* Accounts ; Open all the accounts
3300-04-01 open Equity:Sheep ANIMALS
description: "Inheritance from Parents"
3300-04-01 open Income:Hunt ANIMALS
description: "From Hunting Animals"
3300-04-01 open Income:Forage PLANTS
description: "From Foraging Wild Fruits, Plants"
3300-04-01 open Income:Market COWRIE
description: "Assets sold at the market"
3300-04-01 open Assets:Animal ANIMALS
description: "Animals Owned Like Sheep, Goats, Cows"
3300-04-01 open Assets:Food MEALS
description: "Food for Consumption"
3300-04-01 open Assets:Food:Meat MEALS
description: "Killed Animals for Consumption"
3300-04-01 open Assets:Food:Veggie MEALS
description: "Procured, Foraged Fruits, Grains"
3300-04-01 open Assets:Plant PLANTS
description: "Procured, Foraged Plants"
3300-04-01 open Assets:Tools TOOLS
description: "Procured, Made Tools"
3300-04-01 open Assets:Cash COWRIE
description: "Cowrie Shells in Pouch"
3300-04-01 open Expenses:Medicine COWRIE
description: "Procured, Foraged Medicinals"
3300-04-01 open Expenses:Tools:Weapons COWRIE
description: "Bought Weapons"
3300-04-01 open Expenses:Food
description: "Bought, Consumed Meals"
3300-04-01 open Expenses:Clothing COWRIE
description: "Bought Clothes"
3300-04-01 open Expenses:Tools COWRIE
description: "Bought Tools"
* Transactions
3345-03-15 * "Parents" "Inheritance"
note: "Opening Balance"
Equity:Sheep -20 ANIMALS
Assets:Animal
3345-03-26 * "Hauslabjoch Pass, Otzal Alps" "Red Deers"
Income:Hunt -2 ANIMALS {50 COWRIE}
Assets:Food:Meat 10 MEALS {7.5 COWRIE, "Deer"}
Assets:Animal 0.5 ANIMALS {50 COWRIE}
3345-03-28 * "Hauslabjoch Pass, Otzal Alps" "Wild Berries"
Income:Forage -60 PLANTS
Assets:Food:Veggie 3 MEALS {20 PLANTS, "Berry"}
3345-04-02 * "Hauslabjoch Pass, Otzal Alps" "Last Weeks Meals"
Assets:Food:Meat -7 MEALS {7.5 COWRIE, "Deer"}
Assets:Food:Veggie -3 MEALS {20 PLANTS, "Berry"}
Expenses:Food
3345-04-02 * "Hauslabjoch Pass, Otzal Alps" "Sloe"
Income:Forage -50 PLANTS
Assets:Food:Veggie 5 MEALS {10 PLANTS, "Sloe"}
3345-04-05 * "Hauslabjoch Pass, Otzal Alps" "Ibex"
Income:Hunt -2 ANIMALS {100 COWRIE}
Assets:Food:Meat 10 MEALS {15 COWRIE, "Ibex"}
Assets:Animal 0.5 ANIMALS {100 COWRIE}
3345-04-08 * "Hauslabjoch Pass, Otzal Alps" "Birch Fungus Medicinal Mushroom"
Income:Forage -6 PLANTS {100 COWRIE}
Assets:Plant 6 PLANTS {100 COWRIE}
3345-04-09 * "Hauslabjoch Pass, Otzal Alps" "Last Weeks Meals"
Assets:Food:Meat -3 MEALS {7.5 COWRIE, "Deer"}
Assets:Food:Meat -4 MEALS {15 COWRIE, "Ibex"}
Assets:Food:Veggie -3 MEALS {10 PLANTS, "Sloe"}
Expenses:Food
3345-04-15 * "Innsbruck Farmers Market" "Sold Red Deers Skin, Antler"
Assets:Animal -0.5 ANIMALS {50 COWRIE}
Assets:Cash 25 COWRIE
3345-04-15 * "Innsbruck Farmers Market" "Sold Ibex Skin, Antler"
Assets:Animal -0.5 ANIMALS {100 COWRIE}
Assets:Cash 50 COWRIE
3345-04-15 * "Innsbruck Farmers Market" "Sold Birch Fungus Medicinal Mushroom"
Assets:Plant -5 PLANTS {100 COWRIE}
Assets:Cash 500 COWRIE
3345-04-15 * "Innsbruck Farmers Market" "Snow Shoes: Bearskin, Deer hide, Tree Bark"
note: "Expensive Bearkskin but need not want"
Assets:Cash -90 COWRIE
Expenses:Clothing
3345-04-15 * "Innsbruck Farmers Market" "Soft Grass Socks"
Assets:Cash -10 COWRIE
Expenses:Clothing
3345-04-15 * "Innsbruck Farmers Market" "Cattle Shoelace"
Assets:Cash -5 COWRIE
Expenses:Clothing
3345-04-15 * "Innsbruck Farmers Market" "Einkorn Wheat Bran Bread"
Assets:Cash -50 COWRIE
Assets:Food:Veggie 5 MEALS {10 COWRIE, "Bread"}
3345-04-16 * "Enroute to Innsbruck" "Last Weeks Meals"
Assets:Food:Meat -6 MEALS {15 COWRIE, "Ibex"}
Assets:Food:Veggie -2 MEALS {10 PLANTS, "Sloe"}
Expenses:Food
3345-04-16 * "Innsbruck Tools Market" "Firelighting Kit: Plants, Pyrite, Flint"
Assets:Cash -30 COWRIE
Expenses:Tools
3345-04-16 * "Innsbruck Tools Market" "Flint Blade, Ash Handle Knife"
Assets:Cash -50 COWRIE
Expenses:Tools:Weapons
3345-04-20 * "Tisenjoch Pass, Otzal Alps" "Chamois"
Income:Hunt -1 ANIMALS {100 COWRIE}
Assets:Food:Meat 5 MEALS {10 COWRIE, "Chamois"}
Assets:Animal 0.5 ANIMALS {100 COWRIE}
3345-04-22 * "Tisenjoch Pass, Otzal Alps" "Roe Deer"
Income:Hunt -2 ANIMALS {50 COWRIE}
Assets:Food:Meat 10 MEALS {7.5 COWRIE, "Deer"}
Assets:Animal 0.5 ANIMALS {50 COWRIE}
3345-04-23 * "Tisenjoch Pass, Otzal Alps" "Last Weeks Meals"
Assets:Food:Veggie -4 MEALS {10 COWRIE, "Bread"}
Assets:Food:Meat -4 MEALS {10 COWRIE, "Chamois"}
Assets:Food:Meat -3 MEALS {7.5 COWRIE, "Deer"}
Expenses:Food
3345-04-25 * "Tisenjoch Pass, Otzal Alps" "Roe Deer Quiver"
Assets:Animal -0.25 ANIMALS {50 COWRIE}
Assets:Tools 1 TOOLS {12.50 COWRIE}
3345-04-28 * "Tisenjoch Pass, Otzal Alps" "Wild Berries"
Income:Forage -60 PLANTS
Assets:Food:Veggie 3 MEALS {20 PLANTS, "Berry"}
3345-04-30 * "Tisenjoch Pass, Otzal Alps" "Last Weeks Meals"
Assets:Food:Veggie -1 MEALS {10 COWRIE, "Bread"}
Assets:Food:Meat -1 MEALS {10 COWRIE, "Chamois"}
Assets:Food:Meat -6 MEALS {7.5 COWRIE, "Deer"}
Expenses:Food
3345-05-02 * "Enroute to Bolzano City" "Poppy Seed"
Income:Forage -80 PLANTS
Assets:Food:Veggie 8 MEALS {10 PLANTS, "Poppy"}
3345-05-06 * "Enroute to Bolzano City" "Barley, Flax Seeds"
Income:Forage -80 PLANTS
Assets:Food:Veggie 4 MEALS {10 PLANTS, "Barley"}
Assets:Food:Veggie 4 MEALS {10 PLANTS, "Flax"}
3345-05-07 * "Enroute to Bolzano City" "Last Weeks Meals"
Assets:Food:Veggie -5 MEALS {10 PLANTS, "Poppy"}
Assets:Food:Veggie -3 MEALS {20 PLANTS, "Berry"}
Assets:Food:Meat -1 MEALS {7.5 COWRIE, "Deer"}
Expenses:Food
3345-05-09 * "Bolzano City Market" "Sold Roe Deers Hide"
Assets:Animal -0.25 ANIMALS {50 COWRIE}
Assets:Cash 12.5 COWRIE
3345-05-09 * "Bolzano City Market" "Sold Chamois Hide"
Assets:Animal -0.5 ANIMALS {100 COWRIE}
Assets:Cash 50 COWRIE
3345-05-10 * "Bolzano City Market" "Yewood Handle Copper Axe"
note: "Expensive Bearkskin but need not want"
Assets:Cash -140 COWRIE
Expenses:Tools:Weapons
3345-05-10 * "Bolzano City Market" "Sheepskin Hide Coat"
Assets:Cash -40 COWRIE
Expenses:Clothing
3345-05-10 * "Bolzano City Market" "Sheepskin Loincloth"
Assets:Cash -20 COWRIE
Expenses:Clothing
3345-05-10 * "Bolzano City Market" "Goat Skin Leggings"
Assets:Cash -40 COWRIE
Expenses:Clothing
3345-05-10 * "Bolzano City Market" "Brown Bear Fur Hat"
Assets:Cash -60 COWRIE
Expenses:Clothing
3345-05-10 * "Bolzano City Market" "Viburnum, Dogwood, Flint"
note: "For Making Arrows"
Assets:Cash -40 COWRIE
Expenses:Tools:Weapons
3345-05-10 * "Bolzano City Market" "Yew Wood"
note: "For Making Yewood Longbow"
Assets:Cash -32.5 COWRIE
Expenses:Tools:Weapons
3345-05-10 * "Bolzano City Market" "Birch Bark Baskets"
note: "Need Better Containers for Storage, Carrying"
Assets:Cash -30 COWRIE
Expenses:Tools
3345-05-13 * "Near Feldthurns, South Tyrol" "Ibex"
Income:Hunt -2 ANIMALS {100 COWRIE}
Assets:Food:Meat 10 MEALS {15 COWRIE, "Ibex"}
Assets:Animal 0.5 ANIMALS {100 COWRIE}
3345-05-14 * "Near Feldthurns, South Tyrol" "Last Weeks Meals"
Assets:Food:Veggie -4 MEALS {10 PLANTS, "Barley"}
Assets:Food:Veggie -3 MEALS {10 PLANTS, "Flax"}
Assets:Food:Veggie -3 MEALS {10 PLANTS, "Poppy"}
Expenses:Food
3345-05-21 * "Fineilspitze Peak, Otzal Alps" "Last Weeks Meals"
Assets:Food:Meat -7 MEALS {15 COWRIE, "Ibex"}
Assets:Food:Veggie -1 MEALS {10 PLANTS, "Flax"}
Expenses:Food

View file

@ -1,18 +0,0 @@
* The Beatles - Across The Universe :60s:BRITISH:POP:
:PROPERTIES:
:TYPE: song
:END:
:LOGBOOK:
ENQUEUED: [1984-04-01 Sun 00:00]
:END:
* Ram Narayan :INDIAN:CLASSICAL:SARANGI:
** Ram Narayan - Raag Kirwani Alap
:PROPERTIES:
:TYPE: song
:QUERY: Raga Kirvani (feat. Suresh Talwalkar, François Auboux) (Alap)
:CATEGORY: youtube
:END:
:LOGBOOK:
ENQUEUED: [1984-04-01 Sun 00:00]
:END:

View file

@ -1,118 +0,0 @@
# Standard Packages
import json
# Internal Packages
from khoj.processor.ledger.beancount_to_jsonl import BeancountToJsonl
def test_no_transactions_in_file(tmp_path):
"Handle file with no transactions."
# Arrange
entry = f"""
- Bullet point 1
- Bullet point 2
"""
beancount_file = create_file(tmp_path, entry)
# Act
# Extract Entries from specified Beancount files
entry_nodes, file_to_entries = BeancountToJsonl.extract_beancount_transactions(beancount_files=[beancount_file])
# Process Each Entry from All Beancount Files
jsonl_string = BeancountToJsonl.convert_transaction_maps_to_jsonl(
BeancountToJsonl.convert_transactions_to_maps(entry_nodes, file_to_entries)
)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 0
def test_single_beancount_transaction_to_jsonl(tmp_path):
"Convert transaction from single file to jsonl."
# Arrange
entry = f"""
1984-04-01 * "Payee" "Narration"
Expenses:Test:Test 1.00 KES
Assets:Test:Test -1.00 KES
"""
beancount_file = create_file(tmp_path, entry)
# Act
# Extract Entries from specified Beancount files
entries, entry_to_file_map = BeancountToJsonl.extract_beancount_transactions(beancount_files=[beancount_file])
# Process Each Entry from All Beancount Files
jsonl_string = BeancountToJsonl.convert_transaction_maps_to_jsonl(
BeancountToJsonl.convert_transactions_to_maps(entries, entry_to_file_map)
)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 1
def test_multiple_transactions_to_jsonl(tmp_path):
"Convert multiple transactions from single file to jsonl."
# Arrange
entry = f"""
1984-04-01 * "Payee" "Narration"
Expenses:Test:Test 1.00 KES
Assets:Test:Test -1.00 KES
\t\r
1984-04-01 * "Payee" "Narration"
Expenses:Test:Test 1.00 KES
Assets:Test:Test -1.00 KES
"""
beancount_file = create_file(tmp_path, entry)
# Act
# Extract Entries from specified Beancount files
entries, entry_to_file_map = BeancountToJsonl.extract_beancount_transactions(beancount_files=[beancount_file])
# Process Each Entry from All Beancount Files
jsonl_string = BeancountToJsonl.convert_transaction_maps_to_jsonl(
BeancountToJsonl.convert_transactions_to_maps(entries, entry_to_file_map)
)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 2
def test_get_beancount_files(tmp_path):
"Ensure Beancount files specified via input-filter, input-files extracted"
# Arrange
# Include via input-filter globs
group1_file1 = create_file(tmp_path, filename="group1-file1.bean")
group1_file2 = create_file(tmp_path, filename="group1-file2.bean")
group2_file1 = create_file(tmp_path, filename="group2-file1.beancount")
group2_file2 = create_file(tmp_path, filename="group2-file2.beancount")
# Include via input-file field
file1 = create_file(tmp_path, filename="ledger.bean")
# Not included by any filter
create_file(tmp_path, filename="not-included-ledger.bean")
create_file(tmp_path, filename="not-included-text.txt")
expected_files = sorted(map(str, [group1_file1, group1_file2, group2_file1, group2_file2, file1]))
# Setup input-files, input-filters
input_files = [tmp_path / "ledger.bean"]
input_filter = [tmp_path / "group1*.bean", tmp_path / "group2*.beancount"]
# Act
extracted_org_files = BeancountToJsonl.get_beancount_files(input_files, input_filter)
# Assert
assert len(extracted_org_files) == 5
assert extracted_org_files == expected_files
# Helper Functions
def create_file(tmp_path, entry=None, filename="ledger.beancount"):
beancount_file = tmp_path / filename
beancount_file.touch()
if entry:
beancount_file.write_text(entry)
return beancount_file

View file

@ -34,7 +34,7 @@ def test_search_with_invalid_content_type(client):
# ----------------------------------------------------------------------------------------------------
def test_search_with_valid_content_type(client):
for content_type in ["all", "org", "markdown", "ledger", "image", "pdf", "plugin1"]:
for content_type in ["all", "org", "markdown", "image", "pdf", "plugin1"]:
# Act
response = client.get(f"/api/search?q=random&t={content_type}")
# Assert
@ -52,7 +52,7 @@ def test_update_with_invalid_content_type(client):
# ----------------------------------------------------------------------------------------------------
def test_update_with_valid_content_type(client):
for content_type in ["org", "markdown", "ledger", "image", "pdf", "plugin1"]:
for content_type in ["org", "markdown", "image", "pdf", "plugin1"]:
# Act
response = client.get(f"/api/update?t={content_type}")
# Assert
@ -70,7 +70,7 @@ def test_regenerate_with_invalid_content_type(client):
# ----------------------------------------------------------------------------------------------------
def test_regenerate_with_valid_content_type(client):
for content_type in ["org", "markdown", "ledger", "image", "pdf", "plugin1"]:
for content_type in ["org", "markdown", "image", "pdf", "plugin1"]:
# Act
response = client.get(f"/api/update?force=true&t={content_type}")
# Assert