From 43f1e270f2c9f219df094b0fc2f619c75c8bf6ff Mon Sep 17 00:00:00 2001 From: Sandeep Somasekharan Date: Sat, 28 Dec 2024 12:53:33 +0530 Subject: [PATCH] NSDL support: first version --- casparser/cli.py | 108 +- casparser/enums.py | 2 + casparser/parsers/__init__.py | 58 +- casparser/parsers/mupdf.py | 129 ++- casparser/parsers/pdfminer.py | 118 ++- casparser/process/__init__.py | 13 +- casparser/process/dp_statement.py | 198 ++++ casparser/process/regex.py | 27 + casparser/types.py | 77 +- poetry.lock | 1528 ++++++++++++++++++++++++++++- pyproject.toml | 3 + tests/test_pdfminer.py | 4 +- 12 files changed, 2198 insertions(+), 67 deletions(-) create mode 100644 casparser/process/dp_statement.py diff --git a/casparser/cli.py b/casparser/cli.py index 04ba544..cce3405 100644 --- a/casparser/cli.py +++ b/casparser/cli.py @@ -15,10 +15,10 @@ from . import __version__, read_cas_pdf from .analysis.gains import CapitalGainsReport -from .enums import CASFileType +from .enums import CASFileType, FileType from .exceptions import GainsError, IncompleteCASError, ParserException from .parsers.utils import cas2csv, cas2csv_summary, cas2json, is_close -from .types import CASData +from .types import CASData, NSDLCASData CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) console = Console() @@ -55,6 +55,99 @@ def get_color(amount: Union[Decimal, float, int]): return "white" +def print_nsdl(parsed_data: NSDLCASData): + """Print summary of parsed data.""" + + count = 0 + err = 0 + + data = parsed_data.model_dump(by_alias=True) + # console.print(data) + + summary_table = Table.grid(expand=True) + summary_table.add_column(justify="right") + summary_table.add_column(justify="left") + spacing = (0, 1) + summary_table.add_row( + Padding("Statement Period :", spacing), + f"[bold green]{data['statement_period']['from']}[/] To " + f"[bold green]{data['statement_period']['to']}[/]", + ) + summary_table.add_row(Padding("File Type :", spacing), f"[bold]{data['file_type']}[/]") + # summary_table.add_row(Padding("CAS Type :", spacing), f"[bold]{data['cas_type']}[/]") + for key, value in data["investor_info"].items(): + summary_table.add_row( + Padding(f"{key.capitalize()} :", spacing), re.sub(r"[^\S\r\n]+", " ", value) + ) + console.print(summary_table) + console.print("") + + table = Table(title="Portfolio Summary", show_lines=True) + table.add_column("Name") + table.add_column("ISIN") + table.add_column("Units") + table.add_column("Price") + table.add_column("Value") + + value = Decimal(0) + + for account in parsed_data.accounts: + balance = account.balance + value += balance + running_balance = 0 + table_rows = [] + if len(account.equities) > 0: + table_rows.append(["[italic]Equities[/]"]) + for equity in account.equities: + running_balance += equity.num_shares * equity.price + table_rows.append( + [ + equity.name, + equity.isin, + format_number(equity.num_shares), + formatINR(equity.price), + formatINR(equity.value), + ] + ) + if len(account.mutual_funds) > 0: + table_rows.append(["[italic]Mutual Funds[/]"]) + for mf in account.mutual_funds: + running_balance += mf.nav * mf.balance + table_rows.append( + [ + mf.name, + mf.isin, + format_number(mf.balance), + formatINR(mf.nav), + formatINR(mf.value), + ] + ) + if is_close(balance, running_balance, tol=float(balance or 1) * 0.01): + status = "️✅" + else: + status = "❗️" + err += 1 + count += 1 + table.add_row( + f"[bold]{account.name}\n{account.dp_id} - {account.client_id}[/]", "", "", "", status + ) + + for row in table_rows: + table.add_row(*row) + + console.print(table) + + console.print( + f"Portfolio Valuation : [bold green]{formatINR(value)}[/] " + f"[As of {data['statement_period']['to']}]" + ) + + console.print("[bold]Summary[/]") + console.print(f"{'Total':8s}: [bold white]{count:4d}[/] accounts") + console.print(f"{'Matched':8s}: [bold green]{count - err:4d}[/] accounts") + console.print(f"{'Error':8s}: [bold red]{err:4d}[/] accounts") + + def print_summary(parsed_data: CASData, output_filename=None, include_zero_folios=False): """Print summary of parsed data.""" count = 0 @@ -348,7 +441,9 @@ def cli(output, summary, password, include_all, gains, gains_112a, force_pdfmine except ParserException as exc: console.print(f"Error parsing pdf file :: [bold red]{str(exc)}[/]") sys.exit(1) - if summary: + if isinstance(data, NSDLCASData): + print_nsdl(data) + elif summary: print_summary( data, include_zero_folios=include_all, @@ -356,7 +451,10 @@ def cli(output, summary, password, include_all, gains, gains_112a, force_pdfmine ) if output_ext in (".csv", ".json"): - if output_ext == ".csv": + if output_ext == ".csv" and data.file_type in ( + FileType.CAMS.value, + FileType.KFINTECH.value, + ): if summary or data.cas_type == CASFileType.SUMMARY.name: description = "Generating summary CSV file..." conv_fn = cas2csv_summary @@ -370,7 +468,7 @@ def cli(output, summary, password, include_all, gains, gains_112a, force_pdfmine with open(output, "w", newline="", encoding="utf-8") as fp: fp.write(conv_fn(data)) console.print(f"File saved : [bold]{output}[/]") - if gains or gains_112a: + if data.file_type in (FileType.CAMS.value, FileType.KFINTECH.value) and (gains or gains_112a): try: print_gains( data, diff --git a/casparser/enums.py b/casparser/enums.py index 8311e5d..f659019 100644 --- a/casparser/enums.py +++ b/casparser/enums.py @@ -17,6 +17,8 @@ class FileType(AutoEnum): UNKNOWN = auto() CAMS = auto() KFINTECH = auto() + CDSL = auto() + NSDL = auto() class CASFileType(AutoEnum): diff --git a/casparser/parsers/__init__.py b/casparser/parsers/__init__.py index cc4b66d..efdbf3e 100644 --- a/casparser/parsers/__init__.py +++ b/casparser/parsers/__init__.py @@ -2,7 +2,7 @@ from typing import Union from casparser.process import process_cas_text -from casparser.types import CASData +from casparser.types import CASData, NSDLCASData, ProcessedCASData from .utils import cas2csv, cas2json @@ -32,31 +32,39 @@ def read_cas_pdf( from .pdfminer import cas_pdf_to_text partial_cas_data = cas_pdf_to_text(filename, password) - - processed_data = process_cas_text("\u2029".join(partial_cas_data.lines)) - - if sort_transactions: - for folio in processed_data.folios: - for idx, scheme in enumerate(folio.schemes): - dates = [x.date for x in scheme.transactions] - sorted_dates = list(sorted(dates)) - if dates != sorted_dates: - sorted_transactions = [] - balance = scheme.open - for transaction in sorted(scheme.transactions, key=lambda x: x.date): - balance += transaction.units or 0 - transaction.balance = balance - sorted_transactions.append(transaction) - scheme.transactions = sorted_transactions - folio.schemes[idx] = scheme - - final_data = CASData( - statement_period=processed_data.statement_period, - folios=processed_data.folios, - investor_info=partial_cas_data.investor_info, - cas_type=processed_data.cas_type, - file_type=partial_cas_data.file_type, + processed_data = process_cas_text( + "\u2029".join(partial_cas_data.lines), partial_cas_data.file_type ) + if isinstance(processed_data, ProcessedCASData): + if sort_transactions: + for folio in processed_data.folios: + for idx, scheme in enumerate(folio.schemes): + dates = [x.date for x in scheme.transactions] + sorted_dates = list(sorted(dates)) + if dates != sorted_dates: + sorted_transactions = [] + balance = scheme.open + for transaction in sorted(scheme.transactions, key=lambda x: x.date): + balance += transaction.units or 0 + transaction.balance = balance + sorted_transactions.append(transaction) + scheme.transactions = sorted_transactions + folio.schemes[idx] = scheme + + final_data = CASData( + statement_period=processed_data.statement_period, + folios=processed_data.folios, + investor_info=partial_cas_data.investor_info, + cas_type=processed_data.cas_type, + file_type=partial_cas_data.file_type, + ) + else: + final_data = NSDLCASData( + statement_period=processed_data.statement_period, + accounts=processed_data.accounts, + investor_info=partial_cas_data.investor_info, + file_type=partial_cas_data.file_type, + ) if output == "dict": return final_data elif output == "csv": diff --git a/casparser/parsers/mupdf.py b/casparser/parsers/mupdf.py index 83d61e8..cee87fa 100644 --- a/casparser/parsers/mupdf.py +++ b/casparser/parsers/mupdf.py @@ -24,14 +24,26 @@ def merge_bbox(bbox1, bbox2): ) -def group_similar_blocks(blocks): +def group_similar_blocks(blocks, file_type=FileType.UNKNOWN, mode="vertical"): """Group overlapping blocks in a page.""" grouped_blocks = [] curr_y0 = -1 + curr_y1 = -1 blocks = copy.deepcopy(blocks) + + if mode == "vertical": + blocks = sorted(blocks, key=lambda x: (x["bbox"][0], x["bbox"][1])) + else: + blocks = sorted(blocks, key=lambda x: (x["bbox"][1], x["bbox"][0])) + for block in blocks: - y0 = block["bbox"][1] - if is_close(y0, curr_y0, 0.1) and len(grouped_blocks) > 0: + x0, y0, x1, y1 = block["bbox"] + if abs(y1 - y0) > abs(x1 - x0) * 4: + # Ignore vertical elements. No useful info there. + continue + if (is_close(y0, curr_y0, 0.1) or curr_y0 <= y0 <= y1 <= curr_y1) and len( + grouped_blocks + ) > 0: new_block = grouped_blocks.pop() new_block["lines"].extend(block["lines"]) new_block["bbox"] = merge_bbox(new_block["bbox"], block["bbox"]) @@ -39,26 +51,45 @@ def group_similar_blocks(blocks): new_block = block grouped_blocks.append(new_block) curr_y0 = new_block["bbox"][1] + curr_y1 = new_block["bbox"][3] + + if mode == "vertical": + grouped_blocks = group_similar_blocks( + grouped_blocks, file_type=file_type, mode="horizontal" + ) + return grouped_blocks -def extract_blocks(page_dict): +def extract_blocks(page_dict, file_type=FileType.UNKNOWN): """Extract text blocks from page dictionary. The logic is similar to `PyMuPDF.TextPage.extractBLOCKS` but with a slightly better text arrangement. """ + tolerance = {FileType.CAMS: 3, FileType.KFINTECH: 3, FileType.CDSL: 7, FileType.NSDL: 7}.get( + file_type, 3 + ) + blocks = [] - grouped_blocks = group_similar_blocks(page_dict.get("blocks", [])) - for block in grouped_blocks: + grouped_blocks = group_similar_blocks(page_dict.get("blocks", []), file_type=file_type) + for num, block in enumerate(grouped_blocks): lines = [] items = [] bbox = [0, 0, 0, 0] if len(block.get("lines", [])) > 0: bbox = block["lines"][0]["bbox"] y0, y1 = bbox[1], bbox[3] - for line in sorted(block["lines"], key=lambda x: x["bbox"][1]): + if file_type in (FileType.NSDL, FileType.CDSL): + block["lines"] = sorted(block["lines"], key=lambda x: (x["bbox"][0], x["bbox"][1])) + else: + block["lines"] = sorted(block["lines"], key=lambda x: x["bbox"][1]) + for line in block["lines"]: if len(items) > 0 and not ( - is_close(y0, line["bbox"][1], tol=3) or is_close(y1, line["bbox"][3], tol=3) + is_close(y0, line["bbox"][1], tol=tolerance) + or is_close(y1, line["bbox"][3], tol=tolerance) + or is_close(y1, line["bbox"][1], tol=2) + or is_close(y0, line["bbox"][3], tol=2) + or y0 <= line["bbox"][1] <= line["bbox"][3] <= y1 ): full_text = "\t\t".join( [x[0].strip() for x in sorted(items, key=lambda x: x[1][0]) if x[0].strip()] @@ -66,7 +97,8 @@ def extract_blocks(page_dict): if full_text.strip(): lines.append(full_text) items = [] - y0, y1 = line["bbox"][1], line["bbox"][3] + # y0, y1 = line["bbox"][1], line["bbox"][3] + y0, y1 = min(y0, line["bbox"][1]), max(y1, line["bbox"][3]) line_text = "\t\t".join( [ span["text"].strip() @@ -89,14 +121,67 @@ def extract_blocks(page_dict): def parse_file_type(blocks): """Parse file type.""" - for block in sorted(blocks, key=lambda x: -x[1]): - if re.search("CAMSCASWS", block[4]): + for block in sorted(blocks, key=lambda x: -x["bbox"][1]): + block_str = str(block) + if re.search("CAMSCASWS", block_str): return FileType.CAMS - if re.search("KFINCASWS", block[4]): + elif re.search("KFINCASWS", block_str): return FileType.KFINTECH + elif "NSDL Consolidated Account Statement" in block_str or "About NSDL" in block_str: + return FileType.NSDL + elif "Central Depository Services (India) Limited" in block_str: + return FileType.CDSL return FileType.UNKNOWN +def parse_investor_info_dp(page_dict, page_rect: fitz.Rect) -> InvestorInfo: + """Parse investor info.""" + width = max(page_rect.width, 600) + height = max(page_rect.height, 800) + + blocks = sorted( + [x for x in page_dict["blocks"] if x["bbox"][1] < height / 2], key=lambda x: x["bbox"][1] + ) + + address_lines = [] + email = "" + mobile = None + name = None + cas_id_found = False + for block in blocks: + for line in block["lines"]: + for span in filter( + lambda x: x["bbox"][0] <= width / 2 and x["text"].strip() != "", line["spans"] + ): + txt = span["text"].strip() + if not cas_id_found: + if m := re.search(r"[CAS|NSDL]\s+ID\s*:\s*(.+?)(?:\s|$)", txt, re.I): + # email = m.group(1).strip() + cas_id_found = True + continue + if name is None: + name = txt + else: + if ( + re.search( + r"Statement\s+for\s+the\s+period|Your\s+demat\s+account\s+and\s+mutual\s+fund", + txt, + re.I | re.MULTILINE, + ) + or mobile is not None + ): + return InvestorInfo( + email=email, + name=name, + mobile=mobile or "", + address="\n".join(address_lines), + ) + elif m := re.search(r"mobile\s*:\s*([+\d]+)(?:s|$)", txt, re.I): + mobile = m.group(1).strip() + address_lines.append(txt) + raise CASParseError("Unable to parse investor data") + + def parse_investor_info(page_dict, page_rect: fitz.Rect) -> InvestorInfo: """Parse investor info.""" width = max(page_rect.width, 600) @@ -174,6 +259,10 @@ def group_similar_rows(elements_list: List[Iterator[Any]]): items = [] y0, y1 = el[1], el[3] items.append(el) + if len(items) > 0: + line = "\t\t".join([x[4].strip() for x in sorted(items, key=lambda x: x[0])]) + if line.strip(): + lines.append(line) return lines @@ -208,15 +297,21 @@ def cas_pdf_to_text(filename: Union[str, io.IOBase], password) -> PartialCASData pages = [] investor_info = None - for page in doc: + for page_num, page in enumerate(doc): text_page = page.get_textpage() - page_dict = text_page.extractDICT() - blocks = extract_blocks(page_dict) + page_dict = text_page.extractDICT(sort=True) if file_type == FileType.UNKNOWN: - file_type = parse_file_type(blocks) + file_type = parse_file_type(page_dict["blocks"]) + blocks = extract_blocks(page_dict, file_type=file_type) sorted_blocks = sorted(blocks, key=itemgetter(1, 0)) if investor_info is None: - investor_info = parse_investor_info(page_dict, page.rect) + if file_type in (FileType.CAMS, FileType.KFINTECH): + investor_info = parse_investor_info(page_dict, page.rect) + elif file_type in (FileType.NSDL, FileType.CDSL) and page_num == 1: + investor_info = parse_investor_info_dp(page_dict, page.rect) + if file_type == FileType.NSDL and page_num == 0: + # Ignore first page. no useful data + continue pages.append(sorted_blocks) lines = group_similar_rows(pages) return PartialCASData(file_type=file_type, investor_info=investor_info, lines=lines) diff --git a/casparser/parsers/pdfminer.py b/casparser/parsers/pdfminer.py index 7b9719c..c8e06b0 100644 --- a/casparser/parsers/pdfminer.py +++ b/casparser/parsers/pdfminer.py @@ -3,7 +3,14 @@ from typing import Iterator, List, Optional, Union from pdfminer.converter import PDFPageAggregator -from pdfminer.layout import LAParams, LTTextBoxHorizontal, LTTextBoxVertical +from pdfminer.layout import ( + LAParams, + LTChar, + LTContainer, + LTTextBox, + LTTextBoxHorizontal, + LTTextBoxVertical, +) from pdfminer.pdfdocument import PDFDocument, PDFPasswordIncorrect, PDFSyntaxError from pdfminer.pdfinterp import PDFPageInterpreter, PDFResourceManager from pdfminer.pdfpage import PDFPage @@ -16,7 +23,52 @@ from .utils import is_close -def parse_investor_info(layout, width, height) -> InvestorInfo: +def parse_investor_info_nsdl(layout, width, height) -> InvestorInfo: + """Parse investor info.""" + text_elements = sorted( + [ + x + for x in layout + if isinstance(x, LTTextBoxHorizontal) + # and x.x1 < width / 2 + # and x.y1 > height / 2 + and x.get_text().strip() != "" + ], + key=lambda x: -x.y1, + ) + cas_id_found = False + address_lines = [] + email = "" + mobile = None + name = None + for el in text_elements: + txt = el.get_text().strip() + if not cas_id_found: + if m := re.search(r"[CAS|NSDL]\s+ID\s*:\s*(.+?)(?:\s|$)", txt, re.I): + # email = m.group(1).strip() + cas_id_found = True + continue + if name is None: + name = txt + else: + if ( + re.search( + r"Statement\s+for\s+the\s+period|Your\s+demat\s+account\s+and\s+mutual\s+fund", + txt, + re.I | re.MULTILINE, + ) + or mobile is not None + ): + return InvestorInfo( + email=email, name=name, mobile=mobile or "", address="\n".join(address_lines) + ) + elif m := re.search(r"mobile\s*:\s*([+\d]+)(?:s|$)", txt, re.I): + mobile = m.group(1).strip() + address_lines.append(txt) + raise CASParseError("Unable to parse investor data") + + +def parse_investor_info_mf(layout, width, height) -> InvestorInfo: """Parse investor info.""" text_elements = sorted( [ @@ -95,8 +147,8 @@ def group_similar_rows(elements_list: List[Iterator[LTTextBoxHorizontal]]): items = [] for el in sorted_elements: if len(items) > 0 and not ( - is_close(el.y1, y1, tol=3) - or is_close(el.y0, y0, tol=3) + is_close(el.y1, y1, tol=5) + or is_close(el.y0, y0, tol=5) or is_close(el.y1, y0, tol=2) or is_close(el.y0, y1, tol=2) ): @@ -108,6 +160,10 @@ def group_similar_rows(elements_list: List[Iterator[LTTextBoxHorizontal]]): items = [] y0, y1 = el.y0, el.y1 items.append(el) + if len(items) > 0: + line = "\t\t".join([x.get_text().strip() for x in sorted(items, key=lambda x: x.x0)]) + if line.strip(): + lines.append(line) return lines @@ -138,30 +194,70 @@ def cas_pdf_to_text(filename: Union[str, io.IOBase], password) -> PartialCASData raise CASParseError("Unhandled error while opening file") line_margin = {FileType.KFINTECH: 0.1, FileType.CAMS: 0.2}.get( - detect_pdf_source(document), 0.2 + detect_pdf_source(document), 0.01 ) rsrc_mgr = PDFResourceManager() - laparams = LAParams(line_margin=line_margin, detect_vertical=True) + laparams = LAParams(line_margin=line_margin, detect_vertical=True, all_texts=True) device = PDFPageAggregator(rsrc_mgr, laparams=laparams) interpreter = PDFPageInterpreter(rsrc_mgr, device) pages: List[Iterator[LTTextBoxHorizontal]] = [] investor_info = None - for page in PDFPage.create_pages(document): + + def remove_non_english_text(textbox: LTContainer): + textbox._objs = [ + obj + for obj in textbox._objs + if not (isinstance(obj, LTChar) and "Mangal" in obj.fontname) + ] + for i, obj in enumerate(textbox._objs): + if isinstance(obj, LTContainer): + textbox._objs[i] = remove_non_english_text(obj) + return textbox + + def extract_text_elements(layout: LTContainer) -> Iterator[LTTextBox]: + els = [] + for el in layout: + if isinstance(el, LTTextBox): + els.append(remove_non_english_text(el)) + elif isinstance(el, LTContainer): + els.extend(extract_text_elements(el)) + return els + + for page_num, page in enumerate(PDFPage.create_pages(document)): interpreter.process_page(page) layout = device.get_result() - text_elements = filter(lambda x: isinstance(x, LTTextBoxHorizontal), layout) + text_elements = extract_text_elements(layout) if file_type is None: - for el in filter(lambda x: isinstance(x, LTTextBoxVertical), layout): + for el in filter(lambda x: isinstance(x, LTTextBoxVertical), text_elements): if re.search("CAMSCASWS", el.get_text()): file_type = FileType.CAMS + break if re.search("KFINCASWS", el.get_text()): file_type = FileType.KFINTECH + break + else: + for el in text_elements: + if "NSDL Consolidated Account Statement" in el.get_text(): + file_type = FileType.NSDL + break + elif "Central Depository Services (India) Limited" in el.get_text(): + file_type = FileType.CDSL + break + if file_type in (FileType.CDSL, FileType.NSDL): + raise CASParseError( + "pdfminer does not support this file type. Install pymupdf dependency" + ) if investor_info is None: - investor_info = parse_investor_info(layout, *page.mediabox[2:]) + if file_type in (FileType.CAMS, FileType.KFINTECH): + investor_info = parse_investor_info_mf(text_elements, *page.mediabox[2:]) + elif file_type in (FileType.NSDL, FileType.CDSL) and page_num == 1: + investor_info = parse_investor_info_nsdl(text_elements, *page.mediabox[2:]) + if file_type == FileType.NSDL and page_num == 0: + # Ignore first page. no useful data + continue pages.append(text_elements) - lines = group_similar_rows(pages) return PartialCASData(file_type=file_type, investor_info=investor_info, lines=lines) diff --git a/casparser/process/__init__.py b/casparser/process/__init__.py index b1002f5..9fb614c 100644 --- a/casparser/process/__init__.py +++ b/casparser/process/__init__.py @@ -1,10 +1,11 @@ import re -from ..enums import CASFileType +from ..enums import CASFileType, FileType from ..exceptions import CASParseError from ..types import ProcessedCASData from .cas_detailed import process_detailed_text from .cas_summary import process_summary_text +from .dp_statement import process_depository_text from .regex import CAS_TYPE_RE @@ -18,15 +19,17 @@ def detect_cas_type(text): return CASFileType.UNKNOWN -def process_cas_text(text) -> ProcessedCASData: +def process_cas_text(text, file_type: FileType = FileType.UNKNOWN) -> ProcessedCASData: """ Process the text version of a CAS pdf and return the detailed summary. :param text: :return: """ - cas_file_type = detect_cas_type(text[:1000]) - if cas_file_type == CASFileType.DETAILED: + if file_type in (FileType.CDSL, FileType.NSDL): + return process_depository_text(text) + cas_statement_type = detect_cas_type(text[:1000]) + if cas_statement_type == CASFileType.DETAILED: return process_detailed_text(text) - elif cas_file_type == CASFileType.SUMMARY: + elif cas_statement_type == CASFileType.SUMMARY: return process_summary_text(text) raise CASParseError("Unknown CAS file type") diff --git a/casparser/process/dp_statement.py b/casparser/process/dp_statement.py new file mode 100644 index 0000000..f7a3a39 --- /dev/null +++ b/casparser/process/dp_statement.py @@ -0,0 +1,198 @@ +import re + +from casparser.exceptions import HeaderParseError +from casparser.types import NSDLCASData, StatementPeriod + +from .regex import ( + DEMAT_AC_HOLDER_RE, + DEMAT_AC_TYPE_RE, + DEMAT_DP_ID_RE, + DEMAT_HEADER_RE, + DEMAT_MF_HEADER_RE, + DEMAT_MF_TYPE_RE, + DEMAT_STATEMENT_PERIOD_RE, + NSDL_CDSL_HOLDINGS_RE, + NSDL_EQ_RE, + NSDL_MF_HOLDINGS_RE, + NSDL_MF_RE, +) + + +def parse_header(text): + """ + Parse CAS header data. + :param text: CAS text + """ + if m := re.search( + DEMAT_STATEMENT_PERIOD_RE, + text, + re.DOTALL | re.MULTILINE | re.I, + ): + return m.groupdict() + raise HeaderParseError("Error parsing CAS header") + + +def process_depository_text(text): + hdr_data = parse_header(text[:1000]) + statement_period = StatementPeriod(from_=hdr_data["from"], to=hdr_data["to"]) + accounts = re.findall( + DEMAT_HEADER_RE, + text, + flags=re.I | re.MULTILINE, + ) + mutual_funds = re.findall( + DEMAT_MF_HEADER_RE, + text, + flags=re.I | re.MULTILINE, + ) + demat = {} + for account_type, account_name, dp_id, client_id, folios, balance in accounts: + demat[(dp_id, client_id)] = { + "name": account_name, + "folios": folios, + "balance": balance, + "type": account_type, + "dp_id": dp_id, + "client_id": client_id, + "owners": [], + "equities": [], + "mutual_funds": [], + } + for num_folios, _, balance in mutual_funds: + demat[(None, None)] = { + "name": "Mutual Fund Folios", + "folios": num_folios, + "balance": balance, + "type": "MF", + "dp_id": "", + "client_id": "", + "owners": [], + "equities": [], + "mutual_funds": [], + } + + lines = text.split("\u2029") + start_processing_holdings = False + current_demat = None + demat_holders = [] + for line in lines: + if m := re.search(DEMAT_AC_TYPE_RE, line, flags=re.I): + start_processing_holdings = True + current_demat = None + if not start_processing_holdings: + continue + if current_demat is None: + if m := re.search(DEMAT_MF_TYPE_RE, line.strip(), flags=re.I): + current_demat = demat[(None, None)] + + if "ACCOUNT HOLDER" in line.upper(): + for owner, pan in re.findall(DEMAT_AC_HOLDER_RE, line, re.I): + demat_holders.append( + { + "name": owner, + "PAN": pan, + } + ) + + if m := re.search( + DEMAT_DP_ID_RE, + line, + flags=re.I | re.MULTILINE | re.DOTALL, + ): + dp_id, client_id = m.groups() + current_demat = demat[(dp_id, client_id)] + current_demat["owners"] = demat_holders.copy() + demat_holders = [] + continue + if "NSDL" in current_demat["type"]: + if m := re.search( + NSDL_EQ_RE, + line, + re.DOTALL | re.MULTILINE | re.I, + ): + isin, _, face_value, num_shares, market_value, current_value = m.groups() + current_demat["equities"].append( + { + "isin": isin, + # "face_value": face_value, + "num_shares": num_shares, + "price": market_value, + "value": current_value, + } + ) + continue + elif m := re.search( + NSDL_MF_RE, + line, + re.DOTALL | re.MULTILINE | re.I, + ): + isin, name, balance, nav, value = m.groups() + current_demat["mutual_funds"].append( + { + "isin": isin, + "name": name, + "balance": balance, + "nav": nav, + "value": value, + } + ) + continue + elif "CDSL" in current_demat["type"]: + if m := re.search( + NSDL_CDSL_HOLDINGS_RE, + line, + re.DOTALL | re.MULTILINE | re.I, + ): + isin, name, balance, *_, nav, value = m.groups() + if isin.startswith("INF"): + current_demat["mutual_funds"].append( + { + "isin": isin, + "name": name, + "balance": balance, + "nav": nav, + "value": value, + } + ) + elif isin.startswith("INE"): + current_demat["equities"].append( + { + "isin": isin, + # "face_value": None, + "num_shares": balance, + "price": nav, + "value": value, + } + ) + continue + elif current_demat["type"] == "MF": + if m := re.search( + NSDL_MF_HOLDINGS_RE, + line, + re.DOTALL | re.MULTILINE | re.I, + ): + isin, ucc, name, folio, units, avg_cost, total_cost, nav, value, pnl, returns = ( + m.groups() + ) + name = re.sub(r"\s+", " ", name).strip() + name = re.sub(r"[^a-zA-Z0-9_)]+$", "", name).strip() + current_demat["mutual_funds"].append( + { + "isin": isin, + "ucc": ucc, + "name": name, + "folio": folio, + "balance": units, + "avg_cost": avg_cost, + "total_cost": total_cost, + "nav": nav, + "value": value, + "pnl": pnl, + "return": returns, + } + ) + + return NSDLCASData( + statement_period=statement_period, + accounts=list(demat.values()), + ) diff --git a/casparser/process/regex.py b/casparser/process/regex.py index ed9c974..19c06a1 100644 --- a/casparser/process/regex.py +++ b/casparser/process/regex.py @@ -48,3 +48,30 @@ DESCRIPTION_TAIL_RE = r"(\n.+?)(\t\t|$)" DIVIDEND_RE = r"(?:div\.|dividend|idcw).+?(reinvest)*.*?@\s*Rs\.\s*([\d\.]+)(?:\s+per\s+unit)?" SCHEME_TAIL_RE = r"(\n.+?)(?:\t\t|$)" + + +DEMAT_STATEMENT_PERIOD_RE = ( + r"for\s+the\s+period\s+from\s+(?P\d{2}-[a-zA-Z0-9]{2,3}-\d{4})" + r"\s+to\s+(?P\d{2}-[a-zA-Z0-9]{2,3}-\d{4})" +) +DEMAT_HEADER_RE = ( + r"((?:CDSL|NSDL)\s+demat\s+account)\s+(.+?)\s*DP\s*Id\s*:\s*(.+?)" + r"\s*Client\s*Id\s*:\s*(\d+)\s+(\d+)\s+([\d,.]+)" +) +DEMAT_MF_HEADER_RE = r"Mutual Fund Folios\s+(\d+)\s+folios\s+(\d+)\s+([\d,.]+)" +DEMAT_AC_TYPE_RE = r"^(NSDL|CDSL)\s+demat\s+account|Mutual\s+Fund\s+Folios\s+\(F\)" +DEMAT_MF_TYPE_RE = r"^Mutual\s+Fund\s+Folios\s+\(F\)$" +DEMAT_AC_HOLDER_RE = r"([^\t\n]+?)\s*\(PAN\s*:\s*(.+?)\)" +DEMAT_DP_ID_RE = r"DP\s*Id\s*:\s*(.+?)\s*Client\s*Id\s*:\s*(\d+).+PAN" +NSDL_EQ_RE = ( + rf"^([A-Z]{{2}}[E|9][0-9A-Z]{{8}}[0-9]{{1}})" + rf"\s*(.+?)\s*{amt_re}\s+([\d,.]+)\s+{amt_re}\s+{amt_re}$" +) +NSDL_MF_RE = rf"^(INF[0-9A-Z]{{8}}[0-9]{{1}})\s*(.*?)\s*{amt_re}\s+{amt_re}\s+{amt_re}$" +NSDL_CDSL_HOLDINGS_RE = ( + r"^([A-Z]{2}[0-9A-Z]{9}[0-9]{1})\s*(.+?)\s+" + rf"{amt_re}\s+" * 10 + rf"{amt_re}$" +) +NSDL_MF_HOLDINGS_RE = ( + rf"({isin_re})\n(.+?)[\n\t]+(.+?)\t\t(\w+?)\t\t{amt_re}" + rf"\t\t{amt_re}\t\t{amt_re}\t\t{amt_re}\t\t{amt_re}\t\t{amt_re}(?:\t\t{amt_re})?$" +) diff --git a/casparser/types.py b/casparser/types.py index 52286e0..8d39401 100644 --- a/casparser/types.py +++ b/casparser/types.py @@ -2,7 +2,7 @@ from decimal import Decimal from typing import List, Optional, Union -from pydantic import BaseModel, ConfigDict, Field +from pydantic import BaseModel, ConfigDict, Field, model_validator from .enums import CASFileType, FileType, TransactionType @@ -99,3 +99,78 @@ class ProcessedCASData(BaseModel): cas_type: CASFileType folios: List[Folio] statement_period: StatementPeriod + + +class DematOwner(BaseModel): + name: str + PAN: str + + +class Equity(BaseModel): + name: Optional[str] = None + isin: str + num_shares: Decimal + price: Decimal + value: Decimal + + @model_validator(mode="before") + @classmethod + def fix_float(cls, data: dict): + for k, v in data.items(): + if issubclass(Decimal, cls.__annotations__[k]) and isinstance(v, str): + data[k] = v.replace(",", "_").replace("_", "") + return data + + +class MutualFund(BaseModel): + name: Optional[str] = None + isin: str + balance: Decimal + nav: Decimal + value: Decimal + + @model_validator(mode="before") + @classmethod + def fix_float(cls, data: dict): + for k, v in data.items(): + if ( + k in cls.__annotations__ + and issubclass(Decimal, cls.__annotations__[k]) + and isinstance(v, str) + ): + data[k] = v.replace(",", "_").replace("_", "") + return data + + +class DematAccount(BaseModel): + name: str + type: str + dp_id: Optional[str] = "" + client_id: Optional[str] = "" + folios: int + balance: Decimal + owners: List[DematOwner] + equities: List[Equity] + mutual_funds: List[MutualFund] + + @model_validator(mode="before") + @classmethod + def fix_float(cls, data: dict): + for k, v in data.items(): + try: + if issubclass(Decimal, cls.__annotations__[k]) and isinstance(v, str): + 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"^7.3.2" + [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/tests/test_pdfminer.py b/tests/test_pdfminer.py index c4a6b9b..307a32d 100644 --- a/tests/test_pdfminer.py +++ b/tests/test_pdfminer.py @@ -47,12 +47,12 @@ def setup_class(cls): BaseTestClass.setup_class() def test_bad_investor_info(self): - from casparser.parsers.pdfminer import parse_investor_info + from casparser.parsers.pdfminer import parse_investor_info_mf with pytest.raises(CASParseError) as exc_info: box = LTTextBoxHorizontal() box.get_text() - parse_investor_info([], 0, 0) + parse_investor_info_mf([], 0, 0) assert "Unable to parse investor data" in str(exc_info) def test_invalid_file_type(self):