mirror of
https://github.com/Second-Hand-Friends/kleinanzeigen-bot.git
synced 2026-03-12 02:31:45 +01:00
feat: explain auto price reduction decisions and traces (#826)
This commit is contained in:
@@ -111,6 +111,10 @@ When `auto_price_reduction.enabled` is set to `true`, the bot lowers the configu
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**Note:** `repost_count` and price reduction counters are only incremented and persisted after a successful publish. Failed publish attempts do not advance the counters.
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When automatic price reduction is enabled, each `publish` run logs a concise decision line that states whether the reduction was applied or skipped and why (repost delay/day delay), including the earliest next eligible reduction condition.
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If you run with `-v` / `--verbose`, the bot additionally logs the full cycle-by-cycle calculation trace (base price, reduction value, rounded step result, and floor clamp).
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```yaml
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auto_price_reduction:
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enabled: # true or false to enable automatic price reduction on reposts (default: false)
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@@ -163,6 +167,12 @@ This posts the ad at 150 € the first time, then 135 € (−15 €), 120 € (
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The `delay_days` parameter counts complete 24-hour periods (whole days) since the ad was published. For example, if `delay_days: 7` and the ad was published 6 days and 23 hours ago, the reduction will not yet apply. This ensures predictable behavior and avoids partial-day ambiguity.
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Combined timeline example: with `republication_interval: 3`, `delay_reposts: 1`, and `delay_days: 2`, the first reduction is typically applied on the third publish cycle (around day 8 in a steady schedule, because due ads are republished after more than 3 full days):
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- day 0: first publish, no reduction
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- day 4: second publish, still waiting for repost delay
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- day 8: third publish, first reduction can apply
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Set `auto_price_reduction.enabled: false` (or omit the entire `auto_price_reduction` section) to keep the existing behavior—prices stay fixed and `repost_count` only acts as tracked metadata for future changes.
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You can configure `auto_price_reduction` once under `ad_defaults` in `config.yaml`. The `min_price` can be set there or overridden per ad file as needed.
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@@ -104,6 +104,13 @@ ad_defaults:
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republication_interval: 7 # every X days ads should be re-published
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```
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- `ad_defaults.republication_interval` controls when ads become due for republishing.
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- Automatic price reductions (including `delay_reposts` and `delay_days`) are evaluated only during `publish` runs.
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- Reductions do not run in the background between runs, and `update` does not evaluate or apply reductions.
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- When auto price reduction is enabled, each `publish` run logs the reduction decision.
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- `-v/--verbose` adds a detailed reduction calculation trace.
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- For full behavior and examples (including timeline examples), see [AD_CONFIGURATION.md](./AD_CONFIGURATION.md).
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> **Tip:** For current defaults of all timeout and diagnostic settings, run `kleinanzeigen-bot create-config` or see the [JSON schema](https://raw.githubusercontent.com/Second-Hand-Friends/kleinanzeigen-bot/main/schemas/config.schema.json).
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### categories
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@@ -16,7 +16,7 @@ from wcmatch import glob
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from . import extract, resources
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from ._version import __version__
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from .model.ad_model import MAX_DESCRIPTION_LENGTH, Ad, AdPartial, Contact, calculate_auto_price
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from .model.ad_model import MAX_DESCRIPTION_LENGTH, Ad, AdPartial, Contact, calculate_auto_price, calculate_auto_price_with_trace
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from .model.config_model import Config
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from .update_checker import UpdateChecker
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from .utils import diagnostics, dicts, error_handlers, loggers, misc, xdg_paths
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@@ -48,23 +48,25 @@ class LoginState(enum.Enum):
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UNKNOWN = enum.auto()
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def _repost_cycle_ready(ad_cfg:Ad, ad_file_relative:str) -> bool:
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def _repost_cycle_ready(
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ad_cfg:Ad,
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ad_file_relative:str,
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repost_state:tuple[int, int, int, int] | None = None,
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) -> bool:
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"""
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Check if the repost cycle delay has been satisfied.
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:param ad_cfg: The ad configuration
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:param ad_file_relative: Relative path to the ad file for logging
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:param repost_state: Optional precomputed repost-delay state tuple
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:return: True if ready to apply price reduction, False otherwise
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"""
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total_reposts = ad_cfg.repost_count or 0
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delay_reposts = ad_cfg.auto_price_reduction.delay_reposts
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applied_cycles = ad_cfg.price_reduction_count or 0
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eligible_cycles = max(total_reposts - delay_reposts, 0)
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total_reposts, delay_reposts, applied_cycles, eligible_cycles = repost_state or _repost_delay_state(ad_cfg)
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if total_reposts <= delay_reposts:
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remaining = (delay_reposts + 1) - total_reposts
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LOG.info(
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_("Auto price reduction delayed for [%s]: waiting %s more reposts (completed %s, applied %s reductions)"),
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"Auto price reduction delayed for [%s]: waiting %s more reposts (completed %s, applied %s reductions)",
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ad_file_relative,
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max(remaining, 1), # Clamp to 1 to avoid showing "0 more reposts" when at threshold
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total_reposts,
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@@ -74,39 +76,78 @@ def _repost_cycle_ready(ad_cfg:Ad, ad_file_relative:str) -> bool:
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if eligible_cycles <= applied_cycles:
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LOG.debug(
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_("Auto price reduction already applied for [%s]: %s reductions match %s eligible reposts"), ad_file_relative, applied_cycles, eligible_cycles
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"Auto price reduction already applied for [%s]: %s reductions match %s eligible reposts", ad_file_relative, applied_cycles, eligible_cycles
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)
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return False
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return True
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def _day_delay_elapsed(ad_cfg:Ad, ad_file_relative:str) -> bool:
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def _day_delay_elapsed(
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ad_cfg:Ad,
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ad_file_relative:str,
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day_delay_state:tuple[bool, int | None, datetime | None] | None = None,
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) -> bool:
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"""
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Check if the day delay has elapsed since the ad was last published.
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:param ad_cfg: The ad configuration
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:param ad_file_relative: Relative path to the ad file for logging
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:param day_delay_state: Optional precomputed day-delay state tuple
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:return: True if the delay has elapsed, False otherwise
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"""
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delay_days = ad_cfg.auto_price_reduction.delay_days
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ready, elapsed_days, reference = day_delay_state or _day_delay_state(ad_cfg)
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if delay_days == 0:
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return True
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reference = ad_cfg.updated_on or ad_cfg.created_on
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if not reference:
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LOG.info("Auto price reduction delayed for [%s]: waiting %s days but publish timestamp missing", ad_file_relative, delay_days)
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return False
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if not ready and elapsed_days is not None:
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LOG.info("Auto price reduction delayed for [%s]: waiting %s days (elapsed %s)", ad_file_relative, delay_days, elapsed_days)
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return False
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return True
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def _repost_delay_state(ad_cfg:Ad) -> tuple[int, int, int, int]:
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"""Return repost-delay state tuple.
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Returns:
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tuple[int, int, int, int]:
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(total_reposts, delay_reposts, applied_cycles, eligible_cycles)
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"""
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total_reposts = ad_cfg.repost_count or 0
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delay_reposts = ad_cfg.auto_price_reduction.delay_reposts
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applied_cycles = ad_cfg.price_reduction_count or 0
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eligible_cycles = max(total_reposts - delay_reposts, 0)
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return total_reposts, delay_reposts, applied_cycles, eligible_cycles
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def _day_delay_state(ad_cfg:Ad) -> tuple[bool, int | None, datetime | None]:
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"""Return day-delay state tuple.
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Returns:
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tuple[bool, int | None, datetime | None]:
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(ready_flag, elapsed_days_or_none, reference_timestamp_or_none)
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"""
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delay_days = ad_cfg.auto_price_reduction.delay_days
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# Use getattr to support lightweight test doubles without these attributes.
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reference = getattr(ad_cfg, "updated_on", None) or getattr(ad_cfg, "created_on", None)
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if delay_days == 0:
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return True, 0, reference
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if not reference:
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return False, None, None
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# Note: .days truncates to whole days (e.g., 1.9 days -> 1 day)
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# This is intentional: delays count complete 24-hour periods since publish
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# Both misc.now() and stored timestamps use UTC (via misc.now()), ensuring consistent calculations
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elapsed_days = (misc.now() - reference).days
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if elapsed_days < delay_days:
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LOG.info("Auto price reduction delayed for [%s]: waiting %s days (elapsed %s)", ad_file_relative, delay_days, elapsed_days)
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return False
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return True
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return elapsed_days >= delay_days, elapsed_days, reference
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def apply_auto_price_reduction(ad_cfg:Ad, _ad_cfg_orig:dict[str, Any], ad_file_relative:str) -> None:
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@@ -132,15 +173,80 @@ def apply_auto_price_reduction(ad_cfg:Ad, _ad_cfg_orig:dict[str, Any], ad_file_r
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LOG.warning("Auto price reduction is enabled for [%s] but min_price equals price (%s) - no reductions will occur.", ad_file_relative, base_price)
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return
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if not _repost_cycle_ready(ad_cfg, ad_file_relative):
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repost_state = _repost_delay_state(ad_cfg)
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day_delay_state = _day_delay_state(ad_cfg)
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total_reposts, delay_reposts, applied_cycles, eligible_cycles = repost_state
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_, elapsed_days, reference = day_delay_state
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delay_days = ad_cfg.auto_price_reduction.delay_days
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elapsed_display = "missing" if elapsed_days is None else str(elapsed_days)
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reference_display = "missing" if reference is None else reference.isoformat(timespec = "seconds")
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if not _repost_cycle_ready(ad_cfg, ad_file_relative, repost_state = repost_state):
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next_repost = delay_reposts + 1 if total_reposts <= delay_reposts else delay_reposts + applied_cycles + 1
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LOG.info(
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"Auto price reduction decision for [%s]: skipped (repost delay). next reduction earliest at repost >= %s and day delay %s/%s days."
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" repost_count=%s eligible_cycles=%s applied_cycles=%s reference=%s",
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ad_file_relative,
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next_repost,
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elapsed_display,
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delay_days,
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total_reposts,
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eligible_cycles,
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applied_cycles,
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reference_display,
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)
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return
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if not _day_delay_elapsed(ad_cfg, ad_file_relative):
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if not _day_delay_elapsed(ad_cfg, ad_file_relative, day_delay_state = day_delay_state):
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LOG.info(
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"Auto price reduction decision for [%s]: skipped (day delay). next reduction earliest when elapsed_days >= %s."
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" elapsed_days=%s repost_count=%s eligible_cycles=%s applied_cycles=%s reference=%s",
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ad_file_relative,
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delay_days,
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elapsed_display,
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total_reposts,
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eligible_cycles,
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applied_cycles,
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reference_display,
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)
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return
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applied_cycles = ad_cfg.price_reduction_count or 0
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LOG.info(
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"Auto price reduction decision for [%s]: applying now (eligible_cycles=%s, applied_cycles=%s, elapsed_days=%s/%s).",
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ad_file_relative,
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eligible_cycles,
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applied_cycles,
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elapsed_display,
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delay_days,
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)
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next_cycle = applied_cycles + 1
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if loggers.is_debug(LOG):
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effective_price, reduction_steps, price_floor = calculate_auto_price_with_trace(
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base_price = base_price,
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auto_price_reduction = ad_cfg.auto_price_reduction,
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target_reduction_cycle = next_cycle,
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)
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LOG.debug(
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"Auto price reduction trace for [%s]: strategy=%s amount=%s floor=%s target_cycle=%s base_price=%s",
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ad_file_relative,
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ad_cfg.auto_price_reduction.strategy,
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ad_cfg.auto_price_reduction.amount,
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price_floor,
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next_cycle,
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base_price,
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)
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for step in reduction_steps:
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LOG.debug(
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" -> cycle=%s before=%s reduction=%s after_rounding=%s floor_applied=%s",
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step.cycle,
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step.price_before,
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step.reduction_value,
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step.price_after_rounding,
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step.floor_applied,
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)
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else:
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effective_price = calculate_auto_price(base_price = base_price, auto_price_reduction = ad_cfg.auto_price_reduction, target_reduction_cycle = next_cycle)
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if effective_price is None:
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@@ -604,10 +710,7 @@ class KleinanzeigenBot(WebScrapingMixin): # noqa: PLR0904
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dicts.save_commented_model(
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self.config_file_path,
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default_config,
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header = (
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"# yaml-language-server: "
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"$schema=https://raw.githubusercontent.com/Second-Hand-Friends/kleinanzeigen-bot/main/schemas/config.schema.json"
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),
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header = "# yaml-language-server: $schema=https://raw.githubusercontent.com/Second-Hand-Friends/kleinanzeigen-bot/main/schemas/config.schema.json",
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exclude = {
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"ad_defaults": {"description"},
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},
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@@ -5,6 +5,7 @@ from __future__ import annotations
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import hashlib, json # isort: skip
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from collections.abc import Mapping, Sequence
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from dataclasses import dataclass
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from datetime import datetime # noqa: TC003 Move import into a type-checking block
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from decimal import ROUND_CEILING, ROUND_HALF_UP, Decimal
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from gettext import gettext as _
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@@ -22,6 +23,17 @@ MAX_DESCRIPTION_LENGTH:Final[int] = 4000
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EURO_PRECISION:Final[Decimal] = Decimal("1")
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@dataclass(frozen = True)
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class PriceReductionStep:
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"""Single reduction step with before/after values and floor clamp state."""
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cycle:int
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price_before:Decimal
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reduction_value:Decimal
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price_after_rounding:Decimal
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floor_applied:bool
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def _OPTIONAL() -> Any:
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return Field(default = None)
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@@ -65,10 +77,7 @@ def _validate_shipping_option_item(v:str) -> str:
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ShippingOption = Annotated[str, AfterValidator(_validate_shipping_option_item)]
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def _validate_auto_price_reduction_constraints(
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price:int | None,
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auto_price_reduction:AutoPriceReductionConfig | dict[str, Any] | None
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) -> None:
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def _validate_auto_price_reduction_constraints(price:int | None, auto_price_reduction:AutoPriceReductionConfig | dict[str, Any] | None) -> None:
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"""
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Validate auto_price_reduction configuration constraints.
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@@ -115,20 +124,9 @@ class AdPartial(ContextualModel):
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special_attributes:dict[str, str] | None = _OPTIONAL()
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price:int | None = _OPTIONAL()
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price_type:Literal["FIXED", "NEGOTIABLE", "GIVE_AWAY", "NOT_APPLICABLE"] | None = _OPTIONAL()
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auto_price_reduction:AutoPriceReductionConfig | None = Field(
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default = None,
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description = "automatic price reduction configuration"
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)
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repost_count:int = Field(
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default = 0,
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ge = 0,
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description = "number of successful publications for this ad (persisted between runs)"
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)
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price_reduction_count:int = Field(
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default = 0,
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ge = 0,
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description = "internal counter: number of automatic price reductions already applied"
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)
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auto_price_reduction:AutoPriceReductionConfig | None = Field(default = None, description = "automatic price reduction configuration")
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repost_count:int = Field(default = 0, ge = 0, description = "number of successful publications for this ad (persisted between runs)")
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price_reduction_count:int = Field(default = 0, ge = 0, description = "internal counter: number of automatic price reductions already applied")
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shipping_type:Literal["PICKUP", "SHIPPING", "NOT_APPLICABLE"] | None = _OPTIONAL()
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shipping_costs:float | None = _OPTIONAL()
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shipping_options:list[ShippingOption] | None = _OPTIONAL()
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@@ -205,11 +203,7 @@ class AdPartial(ContextualModel):
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if not (isinstance(v, (Mapping, Sequence, set)) and not isinstance(v, (str, bytes)) and len(v) == 0)
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}
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if isinstance(obj, Sequence) and not isinstance(obj, (str, bytes)):
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return [
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prune(v)
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for v in obj
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if not (isinstance(v, (Mapping, Sequence, set)) and not isinstance(v, (str, bytes)) and len(v) == 0)
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]
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return [prune(v) for v in obj if not (isinstance(v, (Mapping, Sequence, set)) and not isinstance(v, (str, bytes)) and len(v) == 0)]
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return obj
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pruned = prune(raw)
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@@ -234,7 +228,7 @@ class AdPartial(ContextualModel):
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ignore = lambda k, _: k == "description", # ignore legacy global description config
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override = lambda _, v: (
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not isinstance(v, list) and (v is None or (isinstance(v, str) and v == "")) # noqa: PLC1901
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)
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),
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)
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# Ensure internal counters are integers (not user-configurable)
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if not isinstance(ad_cfg.get("price_reduction_count"), int):
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@@ -244,12 +238,9 @@ class AdPartial(ContextualModel):
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return Ad.model_validate(ad_cfg)
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def calculate_auto_price(
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*,
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base_price:int | float | None,
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auto_price_reduction:AutoPriceReductionConfig | None,
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target_reduction_cycle:int
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) -> int | None:
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def _calculate_auto_price_internal(
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*, base_price:int | float | None, auto_price_reduction:AutoPriceReductionConfig | None, target_reduction_cycle:int, with_trace:bool
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) -> tuple[int | None, list[PriceReductionStep], Decimal | None]:
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"""
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Calculate the effective price for the current run using commercial rounding.
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@@ -263,15 +254,15 @@ def calculate_auto_price(
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Returns an int representing whole euros, or None when base_price is None.
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"""
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if base_price is None:
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return None
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return None, [], None
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price = Decimal(str(base_price))
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if not auto_price_reduction or not auto_price_reduction.enabled or target_reduction_cycle <= 0:
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return int(price.quantize(EURO_PRECISION, rounding = ROUND_HALF_UP))
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return int(price.quantize(EURO_PRECISION, rounding = ROUND_HALF_UP)), [], None
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if auto_price_reduction.strategy is None or auto_price_reduction.amount is None:
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return int(price.quantize(EURO_PRECISION, rounding = ROUND_HALF_UP))
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return int(price.quantize(EURO_PRECISION, rounding = ROUND_HALF_UP)), [], None
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if auto_price_reduction.min_price is None:
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raise ValueError(_("min_price must be specified when auto_price_reduction is enabled"))
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@@ -279,8 +270,10 @@ def calculate_auto_price(
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# Prices are published as whole euros; ensure the configured floor cannot be undercut by int() conversion.
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price_floor = Decimal(str(auto_price_reduction.min_price)).quantize(EURO_PRECISION, rounding = ROUND_CEILING)
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repost_cycles = target_reduction_cycle
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steps:list[PriceReductionStep] = []
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||||
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for _cycle in range(repost_cycles):
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for cycle_idx in range(repost_cycles):
|
||||
price_before = price
|
||||
reduction_value = (
|
||||
price * Decimal(str(auto_price_reduction.amount)) / Decimal("100")
|
||||
if auto_price_reduction.strategy == "PERCENTAGE"
|
||||
@@ -289,11 +282,59 @@ def calculate_auto_price(
|
||||
price -= reduction_value
|
||||
# Commercial rounding: round to full euros after each reduction step
|
||||
price = price.quantize(EURO_PRECISION, rounding = ROUND_HALF_UP)
|
||||
floor_applied = False
|
||||
if price <= price_floor:
|
||||
price = price_floor
|
||||
floor_applied = True
|
||||
|
||||
if with_trace:
|
||||
steps.append(
|
||||
PriceReductionStep(
|
||||
cycle = cycle_idx + 1,
|
||||
price_before = price_before,
|
||||
reduction_value = reduction_value,
|
||||
price_after_rounding = price,
|
||||
floor_applied = floor_applied,
|
||||
)
|
||||
)
|
||||
|
||||
if floor_applied:
|
||||
break
|
||||
|
||||
return int(price)
|
||||
return int(price), steps, price_floor
|
||||
|
||||
|
||||
def calculate_auto_price(*, base_price:int | float | None, auto_price_reduction:AutoPriceReductionConfig | None, target_reduction_cycle:int) -> int | None:
|
||||
return _calculate_auto_price_internal(
|
||||
base_price = base_price,
|
||||
auto_price_reduction = auto_price_reduction,
|
||||
target_reduction_cycle = target_reduction_cycle,
|
||||
with_trace = False,
|
||||
)[0]
|
||||
|
||||
|
||||
def calculate_auto_price_with_trace(
|
||||
*, base_price:int | float | None, auto_price_reduction:AutoPriceReductionConfig | None, target_reduction_cycle:int
|
||||
) -> tuple[int | None, list[PriceReductionStep], Decimal | None]:
|
||||
"""Calculate auto price and return a step-by-step reduction trace.
|
||||
|
||||
Args:
|
||||
base_price: starting price before reductions.
|
||||
auto_price_reduction: reduction configuration (strategy, amount, floor, enabled).
|
||||
target_reduction_cycle: reduction cycle to compute (0 = no reduction, 1 = first reduction).
|
||||
|
||||
Returns:
|
||||
A tuple of ``(price, steps, price_floor)`` where:
|
||||
- ``price`` is the computed effective price (``int``) or ``None`` when ``base_price`` is ``None``.
|
||||
- ``steps`` is a list of ``PriceReductionStep`` entries containing the cycle trace.
|
||||
- ``price_floor`` is the rounded ``Decimal`` floor used for clamping, or ``None`` when not applicable.
|
||||
"""
|
||||
return _calculate_auto_price_internal(
|
||||
base_price = base_price,
|
||||
auto_price_reduction = auto_price_reduction,
|
||||
target_reduction_cycle = target_reduction_cycle,
|
||||
with_trace = True,
|
||||
)
|
||||
|
||||
|
||||
# pyright: reportGeneralTypeIssues=false, reportIncompatibleVariableOverride=false
|
||||
|
||||
@@ -164,6 +164,11 @@ kleinanzeigen_bot/__init__.py:
|
||||
apply_auto_price_reduction:
|
||||
"Auto price reduction is enabled for [%s] but no price is configured.": "Automatische Preisreduzierung ist für [%s] aktiviert, aber es wurde kein Preis konfiguriert."
|
||||
"Auto price reduction is enabled for [%s] but min_price equals price (%s) - no reductions will occur.": "Automatische Preisreduzierung ist für [%s] aktiviert, aber min_price entspricht dem Preis (%s) - es werden keine Reduktionen auftreten."
|
||||
? "Auto price reduction decision for [%s]: skipped (repost delay). next reduction earliest at repost >= %s and day delay %s/%s days. repost_count=%s eligible_cycles=%s applied_cycles=%s reference=%s"
|
||||
: "Entscheidung automatische Preisreduzierung für [%s]: übersprungen (Repost-Verzögerung). Nächste Reduktion frühestens bei Repost >= %s und Tagesverzögerung %s/%s Tage. repost_count=%s eligible_cycles=%s applied_cycles=%s reference=%s"
|
||||
? "Auto price reduction decision for [%s]: skipped (day delay). next reduction earliest when elapsed_days >= %s. elapsed_days=%s repost_count=%s eligible_cycles=%s applied_cycles=%s reference=%s"
|
||||
: "Entscheidung automatische Preisreduzierung für [%s]: übersprungen (Tagesverzögerung). Nächste Reduktion frühestens bei elapsed_days >= %s. elapsed_days=%s repost_count=%s eligible_cycles=%s applied_cycles=%s reference=%s"
|
||||
"Auto price reduction decision for [%s]: applying now (eligible_cycles=%s, applied_cycles=%s, elapsed_days=%s/%s).": "Entscheidung automatische Preisreduzierung für [%s]: wird jetzt angewendet (eligible_cycles=%s, applied_cycles=%s, elapsed_days=%s/%s)."
|
||||
"Auto price reduction applied: %s -> %s after %s reduction cycles": "Automatische Preisreduzierung angewendet: %s -> %s nach %s Reduktionszyklen"
|
||||
"Auto price reduction kept price %s after attempting %s reduction cycles": "Automatische Preisreduzierung hat Preis %s beibehalten nach dem Versuch von %s Reduktionszyklen"
|
||||
_repost_cycle_ready:
|
||||
@@ -648,7 +653,7 @@ kleinanzeigen_bot/model/ad_model.py:
|
||||
_validate_auto_price_reduction_constraints:
|
||||
"price must be specified when auto_price_reduction is enabled": "price muss angegeben werden, wenn auto_price_reduction aktiviert ist"
|
||||
"min_price must not exceed price": "min_price darf price nicht überschreiten"
|
||||
calculate_auto_price:
|
||||
_calculate_auto_price_internal:
|
||||
"min_price must be specified when auto_price_reduction is enabled": "min_price muss angegeben werden, wenn auto_price_reduction aktiviert ist"
|
||||
|
||||
#################################################
|
||||
|
||||
@@ -30,120 +30,64 @@ def apply_auto_price_reduction() -> _ApplyAutoPriceReduction:
|
||||
@pytest.mark.unit
|
||||
def test_initial_posting_uses_base_price() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 0
|
||||
) == 100
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 0) == 100
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_auto_price_returns_none_without_base_price() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 10)
|
||||
assert calculate_auto_price(
|
||||
base_price = None,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 3
|
||||
) is None
|
||||
assert calculate_auto_price(base_price = None, auto_price_reduction = config, target_reduction_cycle = 3) is None
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_negative_price_reduction_count_is_treated_like_zero() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = -3
|
||||
) == 100
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = -3) == 100
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_missing_price_reduction_returns_base_price() -> None:
|
||||
assert calculate_auto_price(
|
||||
base_price = 150,
|
||||
auto_price_reduction = None,
|
||||
target_reduction_cycle = 4
|
||||
) == 150
|
||||
assert calculate_auto_price(base_price = 150, auto_price_reduction = None, target_reduction_cycle = 4) == 150
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_percentage_reduction_on_float_rounds_half_up() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 12.5, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 99.99,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1
|
||||
) == 87
|
||||
assert calculate_auto_price(base_price = 99.99, auto_price_reduction = config, target_reduction_cycle = 1) == 87
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_fixed_reduction_on_float_rounds_half_up() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 12.4, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 80.51,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1
|
||||
) == 68
|
||||
assert calculate_auto_price(base_price = 80.51, auto_price_reduction = config, target_reduction_cycle = 1) == 68
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_percentage_price_reduction_over_time() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1
|
||||
) == 90
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 2
|
||||
) == 81
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 3
|
||||
) == 73
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 1) == 90
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 2) == 81
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 3) == 73
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_fixed_price_reduction_over_time() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 15, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1
|
||||
) == 85
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 2
|
||||
) == 70
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 3
|
||||
) == 55
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 1) == 85
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 2) == 70
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 3) == 55
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_min_price_boundary_is_respected() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 20, min_price = 50)
|
||||
assert calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 5
|
||||
) == 50
|
||||
assert calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 5) == 50
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_min_price_zero_is_allowed() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 5, min_price = 0)
|
||||
assert calculate_auto_price(
|
||||
base_price = 20,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 5
|
||||
) == 0
|
||||
assert calculate_auto_price(base_price = 20, auto_price_reduction = config, target_reduction_cycle = 5) == 0
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@@ -162,26 +106,52 @@ def test_percentage_above_100_raises_error() -> None:
|
||||
@pytest.mark.unit
|
||||
def test_feature_disabled_path_leaves_price_unchanged() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = False, strategy = "PERCENTAGE", amount = 25, min_price = 50)
|
||||
price = calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 4
|
||||
)
|
||||
price = calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 4)
|
||||
assert price == 100
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_logs_drop(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
def test_apply_auto_price_reduction_disabled_emits_no_decision_logs(
|
||||
caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 100,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = False,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 10,
|
||||
min_price = 50,
|
||||
delay_reposts = 0,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 0,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
with caplog.at_level(logging.INFO):
|
||||
apply_auto_price_reduction(ad_cfg, {}, "ad_disabled.yaml")
|
||||
|
||||
assert not any("Auto price reduction decision for" in message for message in caplog.messages)
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_logs_drop(caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 200,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 50, delay_reposts = 0, delay_days = 0
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 50,
|
||||
delay_reposts = 0,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1
|
||||
repost_count = 1,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -199,18 +169,17 @@ def test_apply_auto_price_reduction_logs_drop(
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_logs_unchanged_price_at_floor(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
# Test scenario: price has been reduced to just above min_price,
|
||||
# and the next reduction would drop it below, so it gets clamped
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 95,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "FIXED", amount = 10, min_price = 90, delay_reposts = 0, delay_days = 0
|
||||
),
|
||||
auto_price_reduction = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 10, min_price = 90, delay_reposts = 0, delay_days = 0),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1
|
||||
repost_count = 1,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -228,17 +197,21 @@ def test_apply_auto_price_reduction_logs_unchanged_price_at_floor(
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_warns_when_price_missing(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
def test_apply_auto_price_reduction_warns_when_price_missing(caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = None,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 10, delay_reposts = 0, delay_days = 0
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 10,
|
||||
delay_reposts = 0,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 2,
|
||||
repost_count = 2
|
||||
repost_count = 2,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -253,16 +226,22 @@ def test_apply_auto_price_reduction_warns_when_price_missing(
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_warns_when_min_price_equals_price(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 100,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 100, delay_reposts = 0, delay_days = 0
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 100,
|
||||
delay_reposts = 0,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1
|
||||
repost_count = 1,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -277,17 +256,21 @@ def test_apply_auto_price_reduction_warns_when_min_price_equals_price(
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_respects_repost_delay(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
def test_apply_auto_price_reduction_respects_repost_delay(caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 200,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 50, delay_reposts = 3, delay_days = 0
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 50,
|
||||
delay_reposts = 3,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 2
|
||||
repost_count = 2,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -298,19 +281,29 @@ def test_apply_auto_price_reduction_respects_repost_delay(
|
||||
assert ad_cfg.price == 200
|
||||
delayed_message = _("Auto price reduction delayed for [%s]: waiting %s more reposts (completed %s, applied %s reductions)") % ("ad_delay.yaml", 2, 2, 0)
|
||||
assert any(delayed_message in message for message in caplog.messages)
|
||||
decision_message = (
|
||||
"Auto price reduction decision for [ad_delay.yaml]: skipped (repost delay). "
|
||||
"next reduction earliest at repost >= 4 and day delay 0/0 days. repost_count=2 eligible_cycles=0 applied_cycles=0"
|
||||
)
|
||||
assert any(message.startswith(decision_message) for message in caplog.messages)
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_after_repost_delay_reduces_once(
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
def test_apply_auto_price_reduction_after_repost_delay_reduces_once(apply_auto_price_reduction:_ApplyAutoPriceReduction) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 100,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 50, delay_reposts = 2, delay_days = 0
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 10,
|
||||
min_price = 50,
|
||||
delay_reposts = 2,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 3
|
||||
repost_count = 3,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_cfg_orig:dict[str, Any] = {}
|
||||
@@ -324,25 +317,36 @@ def test_apply_auto_price_reduction_after_repost_delay_reduces_once(
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_waits_when_reduction_already_applied(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 100,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 50, delay_reposts = 0, delay_days = 0
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 10,
|
||||
min_price = 50,
|
||||
delay_reposts = 0,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 3,
|
||||
repost_count = 3
|
||||
repost_count = 3,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
|
||||
with caplog.at_level(logging.DEBUG):
|
||||
with caplog.at_level(logging.DEBUG, logger = "kleinanzeigen_bot"):
|
||||
apply_auto_price_reduction(ad_cfg, ad_orig, "ad_already.yaml")
|
||||
|
||||
expected = _("Auto price reduction already applied for [%s]: %s reductions match %s eligible reposts") % ("ad_already.yaml", 3, 3)
|
||||
assert any(expected in message for message in caplog.messages)
|
||||
decision_message = (
|
||||
"Auto price reduction decision for [ad_already.yaml]: skipped (repost delay). "
|
||||
"next reduction earliest at repost >= 4 and day delay 0/0 days. repost_count=3 eligible_cycles=3 applied_cycles=3"
|
||||
)
|
||||
assert any(message.startswith(decision_message) for message in caplog.messages)
|
||||
assert ad_cfg.price == 100
|
||||
assert ad_cfg.price_reduction_count == 3
|
||||
assert "price_reduction_count" not in ad_orig
|
||||
@@ -350,20 +354,23 @@ def test_apply_auto_price_reduction_waits_when_reduction_already_applied(
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_respects_day_delay(
|
||||
monkeypatch:pytest.MonkeyPatch,
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
monkeypatch:pytest.MonkeyPatch, caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
reference = datetime(2025, 1, 1, tzinfo = timezone.utc)
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 150,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 50, delay_reposts = 0, delay_days = 3
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 50,
|
||||
delay_reposts = 0,
|
||||
delay_days = 3,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1,
|
||||
updated_on = reference,
|
||||
created_on = reference
|
||||
created_on = reference,
|
||||
)
|
||||
|
||||
monkeypatch.setattr("kleinanzeigen_bot.misc.now", lambda: reference + timedelta(days = 1))
|
||||
@@ -379,20 +386,22 @@ def test_apply_auto_price_reduction_respects_day_delay(
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_runs_after_delays(
|
||||
monkeypatch:pytest.MonkeyPatch,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
def test_apply_auto_price_reduction_runs_after_delays(monkeypatch:pytest.MonkeyPatch, apply_auto_price_reduction:_ApplyAutoPriceReduction) -> None:
|
||||
reference = datetime(2025, 1, 1, tzinfo = timezone.utc)
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 120,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "PERCENTAGE", amount = 25, min_price = 60, delay_reposts = 2, delay_days = 3
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 60,
|
||||
delay_reposts = 2,
|
||||
delay_days = 3,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 3,
|
||||
updated_on = reference - timedelta(days = 5),
|
||||
created_on = reference - timedelta(days = 10)
|
||||
created_on = reference - timedelta(days = 10),
|
||||
)
|
||||
|
||||
monkeypatch.setattr("kleinanzeigen_bot.misc.now", lambda: reference)
|
||||
@@ -405,18 +414,15 @@ def test_apply_auto_price_reduction_runs_after_delays(
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_delayed_when_timestamp_missing(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 200,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "FIXED", amount = 20, min_price = 50, delay_reposts = 0, delay_days = 2
|
||||
),
|
||||
auto_price_reduction = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 20, min_price = 50, delay_reposts = 0, delay_days = 2),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1,
|
||||
updated_on = None,
|
||||
created_on = None
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -430,18 +436,17 @@ def test_apply_auto_price_reduction_delayed_when_timestamp_missing(
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_fractional_reduction_increments_counter_even_when_price_unchanged(
|
||||
caplog:pytest.LogCaptureFixture,
|
||||
apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction
|
||||
) -> None:
|
||||
# Test that small fractional reductions increment the counter even when rounded price doesn't change
|
||||
# This allows cumulative reductions to eventually show visible effect
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 100,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True, strategy = "FIXED", amount = 0.3, min_price = 50, delay_reposts = 0, delay_days = 0
|
||||
),
|
||||
auto_price_reduction = AutoPriceReductionConfig(enabled = True, strategy = "FIXED", amount = 0.3, min_price = 50, delay_reposts = 0, delay_days = 0),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1
|
||||
repost_count = 1,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
ad_orig:dict[str, Any] = {}
|
||||
@@ -458,6 +463,31 @@ def test_fractional_reduction_increments_counter_even_when_price_unchanged(
|
||||
assert "price_reduction_count" not in ad_orig
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_apply_auto_price_reduction_verbose_logs_trace(caplog:pytest.LogCaptureFixture, apply_auto_price_reduction:_ApplyAutoPriceReduction) -> None:
|
||||
ad_cfg = SimpleNamespace(
|
||||
price = 200,
|
||||
auto_price_reduction = AutoPriceReductionConfig(
|
||||
enabled = True,
|
||||
strategy = "PERCENTAGE",
|
||||
amount = 25,
|
||||
min_price = 50,
|
||||
delay_reposts = 0,
|
||||
delay_days = 0,
|
||||
),
|
||||
price_reduction_count = 0,
|
||||
repost_count = 1,
|
||||
updated_on = None,
|
||||
created_on = None,
|
||||
)
|
||||
|
||||
with caplog.at_level(logging.DEBUG, logger = "kleinanzeigen_bot"):
|
||||
apply_auto_price_reduction(ad_cfg, {}, "ad_trace.yaml")
|
||||
|
||||
assert any("Auto price reduction trace for [ad_trace.yaml]" in message for message in caplog.messages)
|
||||
assert any(" -> cycle=1 before=200 reduction=50.0 after_rounding=150 floor_applied=False" in message for message in caplog.messages)
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_reduction_value_zero_raises_error() -> None:
|
||||
with pytest.raises(ContextualValidationError, match = "Input should be greater than 0"):
|
||||
@@ -473,22 +503,14 @@ def test_reduction_value_negative_raises_error() -> None:
|
||||
@pytest.mark.unit
|
||||
def test_percentage_reduction_100_percent() -> None:
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 100, min_price = 0)
|
||||
assert calculate_auto_price(
|
||||
base_price = 150,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1
|
||||
) == 0
|
||||
assert calculate_auto_price(base_price = 150, auto_price_reduction = config, target_reduction_cycle = 1) == 0
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_extreme_reduction_cycles() -> None:
|
||||
# Test that extreme cycle counts don't cause performance issues or errors
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 0)
|
||||
result = calculate_auto_price(
|
||||
base_price = 1000,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 100
|
||||
)
|
||||
result = calculate_auto_price(base_price = 1000, auto_price_reduction = config, target_reduction_cycle = 100)
|
||||
# With commercial rounding (round after each step), price stabilizes at 5
|
||||
# because 5 * 0.9 = 4.5 rounds back to 5 with ROUND_HALF_UP
|
||||
assert result == 5
|
||||
@@ -502,11 +524,7 @@ def test_commercial_rounding_each_step() -> None:
|
||||
# Step 1: 135 * 0.9 = 121.5 → rounds to 122 EUR
|
||||
# Step 2: 122 * 0.9 = 109.8 → rounds to 110 EUR
|
||||
# (Without intermediate rounding, it would be: 135 * 0.9^2 = 109.35 → 109 EUR)
|
||||
result = calculate_auto_price(
|
||||
base_price = 135,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 2
|
||||
)
|
||||
result = calculate_auto_price(base_price = 135, auto_price_reduction = config, target_reduction_cycle = 2)
|
||||
assert result == 110 # Commercial rounding result
|
||||
|
||||
|
||||
@@ -514,11 +532,7 @@ def test_commercial_rounding_each_step() -> None:
|
||||
def test_extreme_reduction_cycles_with_floor() -> None:
|
||||
# Test that extreme cycles stop at min_price and don't cause issues
|
||||
config = AutoPriceReductionConfig(enabled = True, strategy = "PERCENTAGE", amount = 10, min_price = 50)
|
||||
result = calculate_auto_price(
|
||||
base_price = 1000,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1000
|
||||
)
|
||||
result = calculate_auto_price(base_price = 1000, auto_price_reduction = config, target_reduction_cycle = 1000)
|
||||
# Should stop at min_price, not go to 0, regardless of cycle count
|
||||
assert result == 50
|
||||
|
||||
@@ -533,11 +547,7 @@ def test_fractional_min_price_is_rounded_up_with_ceiling() -> None:
|
||||
# Start at 100, reduce by 10 = 90
|
||||
# But min_price=90.5 rounds UP to 91 with ROUND_CEILING
|
||||
# So the result should be 91, not 90
|
||||
result = calculate_auto_price(
|
||||
base_price = 100,
|
||||
auto_price_reduction = config,
|
||||
target_reduction_cycle = 1
|
||||
)
|
||||
result = calculate_auto_price(base_price = 100, auto_price_reduction = config, target_reduction_cycle = 1)
|
||||
assert result == 91 # Rounded up from 90.5 floor
|
||||
|
||||
# Verify with another fractional value
|
||||
@@ -545,6 +555,6 @@ def test_fractional_min_price_is_rounded_up_with_ceiling() -> None:
|
||||
result2 = calculate_auto_price(
|
||||
base_price = 60,
|
||||
auto_price_reduction = config2,
|
||||
target_reduction_cycle = 3 # 60 - 5 - 5 - 5 = 45, clamped to ceil(49.1) = 50
|
||||
target_reduction_cycle = 3, # 60 - 5 - 5 - 5 = 45, clamped to ceil(49.1) = 50
|
||||
)
|
||||
assert result2 == 50 # Rounded up from 49.1 floor
|
||||
|
||||
Reference in New Issue
Block a user