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* feat: experimenting tables with react * feat: adding new interactive tables * feat: adding more table features * small changes * update * Update backend.py * Update backend.py * fix: dark mode? * feat: lot of table improvements * fix: my b * fix: load only when prod * feat: naive detect links and dates * handle index and column names * increased min width * codespell * mypy, pylint * fix: added new chart, export, etc * testing * updates * fix : add PLOT_OPEN_EXPORT, USE_INTERACTIVE_DF to user dataclass * bump pywry version, readd removed `plots_backend().start()` * req files * Update unit-test.yml * Update unit-test.yml * Update unit-test.yml * updates * fixing some date things * update table * fix formatting with timezones * fixing some long prints and tables * Mickey Mouse Co-authored-by: teh_coderer <tehcoderer@users.noreply.github.com> Co-authored-by: jose-donato <jose-donato@users.noreply.github.com> * fix: ?!?!? * adding limit arg to all print_rich_table * tests * lint * simple by Default on interactive charts * playing with some css (thks jose) * Fix #4426 * Edit some structure * fix sdk generation * Update backend.py * fa menu tested and working * fix #4460 * fix #4460 drop indices * update tests * update tests * Update helper_funcs.py * tests * Update unit-test.yml * Update etf.ipynb --------- Co-authored-by: teh_coderer <me@tehcoderer.com> Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com> Co-authored-by: teh_coderer <tehcoderer@users.noreply.github.com> Co-authored-by: jose-donato <jose-donato@users.noreply.github.com> Co-authored-by: James Maslek <jmaslek11@gmail.com>
152 lines
3.8 KiB
Python
152 lines
3.8 KiB
Python
"""Finance Database view"""
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__docformat__ = "numpy"
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import logging
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import os
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from typing import Optional
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.etf import financedatabase_model
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from openbb_terminal.helper_funcs import export_data, print_rich_table
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from openbb_terminal.rich_config import console
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def display_etf_by_name(
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name: str,
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limit: int = 10,
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export: str = "",
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sheet_name: Optional[str] = None,
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):
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"""Display a selection of ETFs based on name. [Source: Finance Database]
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Parameters
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----------
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name: str
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Search by name to find ETFs matching the criteria.
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limit: int
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Limit of ETFs to display
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sheet_name: str
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Optionally specify the name of the sheet the data is exported to.
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export: str
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Type of format to export data
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"""
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data = financedatabase_model.get_etfs_by_name(name)
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if data.empty:
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console.print("No data was found with that name.")
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return
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table_data = data[["name", "family", "category_group", "category"]]
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print_rich_table(
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table_data,
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show_index=True,
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headers=["Name", "Family", "Category Group", "Category"],
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title="ETFs",
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export=bool(export),
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limit=limit,
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)
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"ln_fd",
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table_data,
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sheet_name,
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)
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@log_start_end(log=logger)
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def display_etf_by_description(
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description: str,
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limit: int = 10,
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export: str = "",
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sheet_name: Optional[str] = None,
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):
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"""Display a selection of ETFs based on description. [Source: Finance Database]
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Parameters
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----------
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description: str
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Search by description to find ETFs matching the criteria.
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limit: int
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Limit of ETFs to display
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sheet_name: str
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Optionally specify the name of the sheet the data is exported to.
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export: str
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Type of format to export data
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"""
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data = financedatabase_model.get_etfs_by_description(description)
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if data.empty:
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console.print("No data was found with that description.")
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return
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table_data = data[["name", "family", "category_group", "category"]]
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print_rich_table(
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table_data,
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show_index=True,
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headers=["Name", "Family", "Category Group", "Category"],
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title="ETFs",
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export=bool(export),
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limit=limit,
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)
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"ld",
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table_data,
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sheet_name,
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)
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@log_start_end(log=logger)
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def display_etf_by_category(
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category: str,
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limit: int = 10,
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export: str = "",
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sheet_name: Optional[str] = None,
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):
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"""Display a selection of ETFs based on a category. [Source: Finance Database]
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Parameters
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----------
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description: str
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Search by description to find ETFs matching the criteria.
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limit: int
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Limit of ETFs to display
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sheet_name: str
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Optionally specify the name of the sheet the data is exported to.
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export: str
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Type of format to export data
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"""
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data = financedatabase_model.get_etfs_by_category(category)
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if data.empty:
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console.print("No data was found on that category.")
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return
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table_data = data[["name", "family", "category_group", "category"]]
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print_rich_table(
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table_data,
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show_index=True,
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headers=["Name", "Family", "Category Group", "Category"],
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title="ETFs by Category",
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export=bool(export),
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limit=limit,
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)
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export_data(
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export,
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os.path.join(os.path.dirname(os.path.abspath(__file__)), "screener"),
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"sbc",
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table_data,
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sheet_name,
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)
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